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You searched for subject:(Power optimization). Showing records 1 – 30 of 1023 total matches.

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Penn State University

1. Karnawat, Darshan Nitin. Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services.

Degree: 2017, Penn State University

 In the field of wireless communication, consumption of power has become a major issue. As more and more manufacturers embed products with scatternet support, Bluetooth… (more)

Subjects/Keywords: BLE; Wireless Communication; Power Optimization

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APA (6th Edition):

Karnawat, D. N. (2017). Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12604dzk5214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karnawat, Darshan Nitin. “Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services.” 2017. Thesis, Penn State University. Accessed April 18, 2021. https://submit-etda.libraries.psu.edu/catalog/12604dzk5214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karnawat, Darshan Nitin. “Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services.” 2017. Web. 18 Apr 2021.

Vancouver:

Karnawat DN. Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 18]. Available from: https://submit-etda.libraries.psu.edu/catalog/12604dzk5214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karnawat DN. Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/12604dzk5214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Baylor University

2. Fellows, Matthew, 1989-. Multidimensional power amplifier circuit optimizations for adaptive radar.

Degree: PhD, Baylor University. Dept. of Electrical & Computer Engineering., 2017, Baylor University

 As wireless technology and dynamic spectrum allocation continue to proliferate, the ability to dynamically reconfigure radar transmitter power amplifiers will become necessary for adaptive radar.… (more)

Subjects/Keywords: Cognitive radar. Optimization. Power amplifier.

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APA (6th Edition):

Fellows, Matthew, 1. (2017). Multidimensional power amplifier circuit optimizations for adaptive radar. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/10038

Chicago Manual of Style (16th Edition):

Fellows, Matthew, 1989-. “Multidimensional power amplifier circuit optimizations for adaptive radar.” 2017. Doctoral Dissertation, Baylor University. Accessed April 18, 2021. http://hdl.handle.net/2104/10038.

MLA Handbook (7th Edition):

Fellows, Matthew, 1989-. “Multidimensional power amplifier circuit optimizations for adaptive radar.” 2017. Web. 18 Apr 2021.

Vancouver:

Fellows, Matthew 1. Multidimensional power amplifier circuit optimizations for adaptive radar. [Internet] [Doctoral dissertation]. Baylor University; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2104/10038.

Council of Science Editors:

Fellows, Matthew 1. Multidimensional power amplifier circuit optimizations for adaptive radar. [Doctoral Dissertation]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10038


Delft University of Technology

3. Diwangkoro Muhammad Dolaputra, Dola (author). Fully Distributed Optimal Power Flow.

Degree: 2018, Delft University of Technology

There are many methods for solving an optimal power flow (OPF) problem. Most of them employ one central unit to solve the problem (centralized) while… (more)

Subjects/Keywords: Optimization Algorithm; Optimal power flow

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APA (6th Edition):

Diwangkoro Muhammad Dolaputra, D. (. (2018). Fully Distributed Optimal Power Flow. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9

Chicago Manual of Style (16th Edition):

Diwangkoro Muhammad Dolaputra, Dola (author). “Fully Distributed Optimal Power Flow.” 2018. Masters Thesis, Delft University of Technology. Accessed April 18, 2021. http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9.

MLA Handbook (7th Edition):

Diwangkoro Muhammad Dolaputra, Dola (author). “Fully Distributed Optimal Power Flow.” 2018. Web. 18 Apr 2021.

Vancouver:

Diwangkoro Muhammad Dolaputra D(. Fully Distributed Optimal Power Flow. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 18]. Available from: http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9.

Council of Science Editors:

Diwangkoro Muhammad Dolaputra D(. Fully Distributed Optimal Power Flow. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9


Georgia Tech

4. Costley, Mitcham Hudson. Prosumer-based decentralized unit commitment for future electricity grids.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 The contributions of this research are a scalable formulation and solution method for decentralized unit commitment, experimental results comparing decentralized unit commitment solution times to… (more)

Subjects/Keywords: Power systems; Unit commitment; Optimization

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APA (6th Edition):

Costley, M. H. (2015). Prosumer-based decentralized unit commitment for future electricity grids. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54890

Chicago Manual of Style (16th Edition):

Costley, Mitcham Hudson. “Prosumer-based decentralized unit commitment for future electricity grids.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 18, 2021. http://hdl.handle.net/1853/54890.

MLA Handbook (7th Edition):

Costley, Mitcham Hudson. “Prosumer-based decentralized unit commitment for future electricity grids.” 2015. Web. 18 Apr 2021.

Vancouver:

Costley MH. Prosumer-based decentralized unit commitment for future electricity grids. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1853/54890.

Council of Science Editors:

Costley MH. Prosumer-based decentralized unit commitment for future electricity grids. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54890


University of Tennessee – Knoxville

5. Haque, Saajid Al. An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks.

Degree: MS, Electrical Engineering, 2018, University of Tennessee – Knoxville

 In many scheduling problems involving tasks with multiple deadlines, there is typically a large degree of flexibility in determining which tasks to serve at each… (more)

Subjects/Keywords: Scheduling; Slack; Power Systems; Optimization

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APA (6th Edition):

Haque, S. A. (2018). An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/5119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Haque, Saajid Al. “An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks.” 2018. Thesis, University of Tennessee – Knoxville. Accessed April 18, 2021. https://trace.tennessee.edu/utk_gradthes/5119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Haque, Saajid Al. “An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks.” 2018. Web. 18 Apr 2021.

Vancouver:

Haque SA. An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks. [Internet] [Thesis]. University of Tennessee – Knoxville; 2018. [cited 2021 Apr 18]. Available from: https://trace.tennessee.edu/utk_gradthes/5119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haque SA. An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks. [Thesis]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_gradthes/5119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

6. Doroshenko, Mykhailo. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.

Degree: 2016, University of Waterloo

 As the prices of solar panels continue to decline, energy production from solar farms is skyrocketing, leading to a situation where, at certain times, solar… (more)

Subjects/Keywords: renewable energy; solar power; optimization

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APA (6th Edition):

Doroshenko, M. (2016). Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doroshenko, Mykhailo. “Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.” 2016. Thesis, University of Waterloo. Accessed April 18, 2021. http://hdl.handle.net/10012/11066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doroshenko, Mykhailo. “Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.” 2016. Web. 18 Apr 2021.

Vancouver:

Doroshenko M. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10012/11066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doroshenko M. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/11066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New South Wales

7. Sadinezhad, Iman. Development of numerical optimization algorithms for power system real-time estimation tools.

Degree: Electrical Engineering & Telecommunications, 2012, University of New South Wales

 The estimation of voltage/current phasors and local frequency are key parts to operate and control the ever evolving electricity networks. Phasor and frequency can be… (more)

Subjects/Keywords: Estimation; Power System; Optimization

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APA (6th Edition):

Sadinezhad, I. (2012). Development of numerical optimization algorithms for power system real-time estimation tools. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Sadinezhad, Iman. “Development of numerical optimization algorithms for power system real-time estimation tools.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 18, 2021. http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true.

MLA Handbook (7th Edition):

Sadinezhad, Iman. “Development of numerical optimization algorithms for power system real-time estimation tools.” 2012. Web. 18 Apr 2021.

Vancouver:

Sadinezhad I. Development of numerical optimization algorithms for power system real-time estimation tools. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Apr 18]. Available from: http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true.

Council of Science Editors:

Sadinezhad I. Development of numerical optimization algorithms for power system real-time estimation tools. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true


Carnegie Mellon University

8. Guo, Junyao. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.

Degree: 2018, Carnegie Mellon University

 To integrate large volumes of renewables and use electricity more efficiently, many industrial trials are on-going around the world that aim to realize decentralized or… (more)

Subjects/Keywords: asynchronous optimization; distributed optimization; nonconvex optimization; optimal power flow; power system partitioning; smart grid communications

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APA (6th Edition):

Guo, J. (2018). Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1140

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Guo, Junyao. “Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.” 2018. Thesis, Carnegie Mellon University. Accessed April 18, 2021. http://repository.cmu.edu/dissertations/1140.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Guo, Junyao. “Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.” 2018. Web. 18 Apr 2021.

Vancouver:

Guo J. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2021 Apr 18]. Available from: http://repository.cmu.edu/dissertations/1140.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo J. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1140

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Australian National University

9. Mak, Wai Keung Terrence. Optimizing Nonlinear Dynamics in Energy System Planning and Control .

Degree: 2017, Australian National University

 Understanding the physical dynamics underlying energy systems is essential in achieving stable operations, and reasoning about restoration and expansion planning. The mathematics governing energy system… (more)

Subjects/Keywords: Nonlinear Optimization; Power System Optimization; Power System Planning; Natural Gas Optimization; Transient Stability; Transient Control; Dynamics Control; Differential Equation Optimization

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APA (6th Edition):

Mak, W. K. T. (2017). Optimizing Nonlinear Dynamics in Energy System Planning and Control . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/143348

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mak, Wai Keung Terrence. “Optimizing Nonlinear Dynamics in Energy System Planning and Control .” 2017. Thesis, Australian National University. Accessed April 18, 2021. http://hdl.handle.net/1885/143348.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mak, Wai Keung Terrence. “Optimizing Nonlinear Dynamics in Energy System Planning and Control .” 2017. Web. 18 Apr 2021.

Vancouver:

Mak WKT. Optimizing Nonlinear Dynamics in Energy System Planning and Control . [Internet] [Thesis]. Australian National University; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1885/143348.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mak WKT. Optimizing Nonlinear Dynamics in Energy System Planning and Control . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/143348

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

10. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

11. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28523

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28523.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28523.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28523

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

12. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

13. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28527

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28527.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28527.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28527

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

14. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

15. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28529

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28529.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28529.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28529

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

16. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

17. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

18. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

19. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Mississippi State University

20. Baez-Rivera, Yamilka Isabel. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.

Degree: PhD, Electrical and Computer Engineering, 2011, Mississippi State University

 <p class=Basictextdouble-spaced>The next generation of U.S. Navy ships will see the integration of the propulsion and electrical systems as part of the all-electric ship.<span style='mso-spacerun:yes'>… (more)

Subjects/Keywords: optimization; stability; shipboard power systems; robust control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Baez-Rivera, Y. I. (2011). CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

Chicago Manual of Style (16th Edition):

Baez-Rivera, Yamilka Isabel. “CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.” 2011. Doctoral Dissertation, Mississippi State University. Accessed April 18, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;.

MLA Handbook (7th Edition):

Baez-Rivera, Yamilka Isabel. “CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.” 2011. Web. 18 Apr 2021.

Vancouver:

Baez-Rivera YI. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. [Internet] [Doctoral dissertation]. Mississippi State University; 2011. [cited 2021 Apr 18]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;.

Council of Science Editors:

Baez-Rivera YI. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. [Doctoral Dissertation]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

21. Amudha A. Solution to profit based unit commitment problem using optimization techniques under deregulated environment;.

Degree: Profit based unit commitment problem using optimization techniques under deregulated environment, 2014, Anna University

Electrical power systems have been deregulated and restructured in newlinesome countries. The restructuring of electrical power systems has resulted in newlinemarket-based competition by creating an… (more)

Subjects/Keywords: Electrical engineering; Electrical power system; Optimization techniques

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

A, A. (2014). Solution to profit based unit commitment problem using optimization techniques under deregulated environment;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

A, Amudha. “Solution to profit based unit commitment problem using optimization techniques under deregulated environment;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/16156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

A, Amudha. “Solution to profit based unit commitment problem using optimization techniques under deregulated environment;.” 2014. Web. 18 Apr 2021.

Vancouver:

A A. Solution to profit based unit commitment problem using optimization techniques under deregulated environment;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

A A. Solution to profit based unit commitment problem using optimization techniques under deregulated environment;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Muthu selvan N B. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.

Degree: Gaussian and cauchy inspired pso algorithms for power system optimization, 2014, Anna University

The main objective of this research work is to develop an enhanced newlineParticle Swarm Optimization (PSO) algorithm for solving various power newlinesystem generation scheduling problems.… (more)

Subjects/Keywords: Cauchy; Electrical engineering; Gaussian; Power system optimization

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

B, M. s. N. (2014). Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

B, Muthu selvan N. “Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/16451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

B, Muthu selvan N. “Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

B MsN. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

B MsN. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

23. Sharma, Gaurav. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 We consider a smart microgrid environment where renewable power sources like wind generators are available to service the thermal inertial load along with conventional non-renewable… (more)

Subjects/Keywords: demand response; power system; optimization; renewable integration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharma, G. (2016). Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157838

Chicago Manual of Style (16th Edition):

Sharma, Gaurav. “Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 18, 2021. http://hdl.handle.net/1969.1/157838.

MLA Handbook (7th Edition):

Sharma, Gaurav. “Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.” 2016. Web. 18 Apr 2021.

Vancouver:

Sharma G. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1969.1/157838.

Council of Science Editors:

Sharma G. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157838


University of Newcastle

24. Qiu, Jing. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market.

Degree: PhD, 2014, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Power system planning plays an essential role in maintaining the economic, secure and reliable operations of power systems.… (more)

Subjects/Keywords: power system planning; natural gas network; optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qiu, J. (2014). Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1055324

Chicago Manual of Style (16th Edition):

Qiu, Jing. “Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market.” 2014. Doctoral Dissertation, University of Newcastle. Accessed April 18, 2021. http://hdl.handle.net/1959.13/1055324.

MLA Handbook (7th Edition):

Qiu, Jing. “Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market.” 2014. Web. 18 Apr 2021.

Vancouver:

Qiu J. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market. [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1959.13/1055324.

Council of Science Editors:

Qiu J. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market. [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1055324


Universidade Nova

25. Soares, Diogo Lopes. Design of multidimensional compact constellations with high power efficiency.

Degree: 2013, Universidade Nova

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia Advisors/Committee Members: Dinis, Rui, Beko, Marko.

Subjects/Keywords: Multidimensional constellations; Power efficiency; Convex optimization

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APA (6th Edition):

Soares, D. L. (2013). Design of multidimensional compact constellations with high power efficiency. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soares, Diogo Lopes. “Design of multidimensional compact constellations with high power efficiency.” 2013. Thesis, Universidade Nova. Accessed April 18, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soares, Diogo Lopes. “Design of multidimensional compact constellations with high power efficiency.” 2013. Web. 18 Apr 2021.

Vancouver:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2021 Apr 18]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

26. Onyema, Emmanuel C. Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator.

Degree: 2014, University of Illinois – Chicago

 Particulate matter (PM) consists of air pollutants such as dust, smoke, diesel exhaust and tobacco fumes. A subset of these pollutants, which are PM particles… (more)

Subjects/Keywords: MEMS; Low Power; Optimization; Pierce Oscillator

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APA (6th Edition):

Onyema, E. C. (2014). Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Onyema, Emmanuel C. “Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator.” 2014. Thesis, University of Illinois – Chicago. Accessed April 18, 2021. http://hdl.handle.net/10027/19073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Onyema, Emmanuel C. “Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator.” 2014. Web. 18 Apr 2021.

Vancouver:

Onyema EC. Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator. [Internet] [Thesis]. University of Illinois – Chicago; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10027/19073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Onyema EC. Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator. [Thesis]. University of Illinois – Chicago; 2014. Available from: http://hdl.handle.net/10027/19073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Colorado State University

27. Dozier, André. Integrated water and power modeling framework for renewable energy integration.

Degree: MS(M.S.), Civil and Environmental Engineering, 2012, Colorado State University

 Increasing penetration of intermittent renewable energy sources into the bulk electricity system has caused new operational challenges requiring large ramping rate and reserve capacity as… (more)

Subjects/Keywords: optimization; water; systems; power; modeling; operations

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dozier, A. (2012). Integrated water and power modeling framework for renewable energy integration. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/73558

Chicago Manual of Style (16th Edition):

Dozier, André. “Integrated water and power modeling framework for renewable energy integration.” 2012. Masters Thesis, Colorado State University. Accessed April 18, 2021. http://hdl.handle.net/10217/73558.

MLA Handbook (7th Edition):

Dozier, André. “Integrated water and power modeling framework for renewable energy integration.” 2012. Web. 18 Apr 2021.

Vancouver:

Dozier A. Integrated water and power modeling framework for renewable energy integration. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10217/73558.

Council of Science Editors:

Dozier A. Integrated water and power modeling framework for renewable energy integration. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/73558


University of Toronto

28. Fawaz, Mohammad. Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits.

Degree: 2013, University of Toronto

Electromigration in metal lines has re-emerged as a significant concern in modern VLSI circuits. The higher levels of temperature and the large number of EM… (more)

Subjects/Keywords: Power Grid; Electromigration; Verification; Optimization; 0544

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fawaz, M. (2013). Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/42835

Chicago Manual of Style (16th Edition):

Fawaz, Mohammad. “Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits.” 2013. Masters Thesis, University of Toronto. Accessed April 18, 2021. http://hdl.handle.net/1807/42835.

MLA Handbook (7th Edition):

Fawaz, Mohammad. “Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits.” 2013. Web. 18 Apr 2021.

Vancouver:

Fawaz M. Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1807/42835.

Council of Science Editors:

Fawaz M. Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/42835


University of Toronto

29. Kumar, Gaurav. Ontario’s Energy - A Review of the Present and a Proposal for Future Development.

Degree: 2010, University of Toronto

The work presents a framework for analyzing complex decision making in policy from the perspective of planning power supply mix for Ontario. Concepts of sustainability… (more)

Subjects/Keywords: Ontario Supply Mix; Power optimization; 0543; 0775

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APA (6th Edition):

Kumar, G. (2010). Ontario’s Energy - A Review of the Present and a Proposal for Future Development. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/24593

Chicago Manual of Style (16th Edition):

Kumar, Gaurav. “Ontario’s Energy - A Review of the Present and a Proposal for Future Development.” 2010. Masters Thesis, University of Toronto. Accessed April 18, 2021. http://hdl.handle.net/1807/24593.

MLA Handbook (7th Edition):

Kumar, Gaurav. “Ontario’s Energy - A Review of the Present and a Proposal for Future Development.” 2010. Web. 18 Apr 2021.

Vancouver:

Kumar G. Ontario’s Energy - A Review of the Present and a Proposal for Future Development. [Internet] [Masters thesis]. University of Toronto; 2010. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1807/24593.

Council of Science Editors:

Kumar G. Ontario’s Energy - A Review of the Present and a Proposal for Future Development. [Masters Thesis]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/24593


Delft University of Technology

30. Qian, Weijun (author). Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply.

Degree: 2017, Delft University of Technology

 High frequency high voltage power supply has been widely applied in many industrial applications such as the medical X-ray machine and eletrostatic precipitators. As a… (more)

Subjects/Keywords: Voltage multiplier; HWCW; Power loss; Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qian, W. (. (2017). Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67

Chicago Manual of Style (16th Edition):

Qian, Weijun (author). “Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply.” 2017. Masters Thesis, Delft University of Technology. Accessed April 18, 2021. http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67.

MLA Handbook (7th Edition):

Qian, Weijun (author). “Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply.” 2017. Web. 18 Apr 2021.

Vancouver:

Qian W(. Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 18]. Available from: http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67.

Council of Science Editors:

Qian W(. Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67

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