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You searched for +publisher:"Texas A&M University" +contributor:("Xie, Le"). Showing records 1 – 30 of 47 total matches.

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Texas A&M University

1. Zhang, Yun. A Clean Slate Control Framework for Future Distribution Systems.

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

 This research investigates the microgrid-based solution to future distribution systems with high penetration of distributed energy resources (DERs). A clustered system architecture is envisioned, in… (more)

Subjects/Keywords: Interconnected Systems; Microgrid; PMU; Hierarchical Control; Model Reference Control; Transient Stability; Linear Matrix Inequality

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APA (6th Edition):

Zhang, Y. (2016). A Clean Slate Control Framework for Future Distribution Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156841

Chicago Manual of Style (16th Edition):

Zhang, Yun. “A Clean Slate Control Framework for Future Distribution Systems.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/156841.

MLA Handbook (7th Edition):

Zhang, Yun. “A Clean Slate Control Framework for Future Distribution Systems.” 2016. Web. 21 Feb 2020.

Vancouver:

Zhang Y. A Clean Slate Control Framework for Future Distribution Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/156841.

Council of Science Editors:

Zhang Y. A Clean Slate Control Framework for Future Distribution Systems. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156841


Texas A&M University

2. Lei, Hangtian. Reliability Modeling and Analysis of Cyber Enabled Electric Power Systems.

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

 Cyber-induced failures affect power system reliability and thus are important to be considered in composite system reliability evaluation. This dissertation extends the scope of bulk… (more)

Subjects/Keywords: Power System; Reliability

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APA (6th Edition):

Lei, H. (2016). Reliability Modeling and Analysis of Cyber Enabled Electric Power Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156807

Chicago Manual of Style (16th Edition):

Lei, Hangtian. “Reliability Modeling and Analysis of Cyber Enabled Electric Power Systems.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/156807.

MLA Handbook (7th Edition):

Lei, Hangtian. “Reliability Modeling and Analysis of Cyber Enabled Electric Power Systems.” 2016. Web. 21 Feb 2020.

Vancouver:

Lei H. Reliability Modeling and Analysis of Cyber Enabled Electric Power Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/156807.

Council of Science Editors:

Lei H. Reliability Modeling and Analysis of Cyber Enabled Electric Power Systems. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156807


Texas A&M University

3. Clark, Angelica. A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 This research proposes a weak grid detection method that is a steady state screening method to identify clusters of buses where potential coordinated voltage oscillations… (more)

Subjects/Keywords: Power Systems; renewable energy; renewable integration; weak grid

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APA (6th Edition):

Clark, A. (2017). A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166400

Chicago Manual of Style (16th Edition):

Clark, Angelica. “A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems.” 2017. Masters Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/166400.

MLA Handbook (7th Edition):

Clark, Angelica. “A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems.” 2017. Web. 21 Feb 2020.

Vancouver:

Clark A. A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/166400.

Council of Science Editors:

Clark A. A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166400


Texas A&M University

4. Mayhorn, Ebony T. Optimal Coordination of Distributed Energy Resources in Isolated Power Systems: A Cross-Time Scale Perspective.

Degree: 2015, Texas A&M University

 This dissertation investigates the problem of optimally coordinating distributed energy resources (DERs) in isolated power systems. It is motivated by the recent efforts worldwide of… (more)

Subjects/Keywords: model predictive control; coordination of distributed energy resources; multi-time-scale; microgrids; isolated power systems

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APA (6th Edition):

Mayhorn, E. T. (2015). Optimal Coordination of Distributed Energy Resources in Isolated Power Systems: A Cross-Time Scale Perspective. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155492

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):

Mayhorn, Ebony T. “Optimal Coordination of Distributed Energy Resources in Isolated Power Systems: A Cross-Time Scale Perspective.” 2015. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/155492.

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

MLA Handbook (7th Edition):

Mayhorn, Ebony T. “Optimal Coordination of Distributed Energy Resources in Isolated Power Systems: A Cross-Time Scale Perspective.” 2015. Web. 21 Feb 2020.

Vancouver:

Mayhorn ET. Optimal Coordination of Distributed Energy Resources in Isolated Power Systems: A Cross-Time Scale Perspective. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/155492.

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

Council of Science Editors:

Mayhorn ET. Optimal Coordination of Distributed Energy Resources in Isolated Power Systems: A Cross-Time Scale Perspective. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155492

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


Texas A&M University

5. Won, Jae Yeon. Dynamic Voltage and Frequency Scaling Techniques for Chip Multiprocessor Designs.

Degree: 2015, Texas A&M University

 Due to chip power density limitations as well as the recent breakdown of Dennard's Scalingover the past decade, performance growth in microprocessor design has largely… (more)

Subjects/Keywords: power management; DVFS; CMP; resource

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APA (6th Edition):

Won, J. Y. (2015). Dynamic Voltage and Frequency Scaling Techniques for Chip Multiprocessor Designs. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155587

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):

Won, Jae Yeon. “Dynamic Voltage and Frequency Scaling Techniques for Chip Multiprocessor Designs.” 2015. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/155587.

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

MLA Handbook (7th Edition):

Won, Jae Yeon. “Dynamic Voltage and Frequency Scaling Techniques for Chip Multiprocessor Designs.” 2015. Web. 21 Feb 2020.

Vancouver:

Won JY. Dynamic Voltage and Frequency Scaling Techniques for Chip Multiprocessor Designs. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/155587.

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

Council of Science Editors:

Won JY. Dynamic Voltage and Frequency Scaling Techniques for Chip Multiprocessor Designs. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155587

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


Texas A&M University

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

Degree: 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 (6th Edition):

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

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):

Sharma, Gaurav. “Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.” 2016. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/157838.

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

MLA Handbook (7th Edition):

Sharma, Gaurav. “Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.” 2016. Web. 21 Feb 2020.

Vancouver:

Sharma G. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/157838.

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

Council of Science Editors:

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

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


Texas A&M University

7. Abu-Elrub, Ahmad Mohammad Amin. Planning of a Hybrid Energy System Connected to a Distribution System.

Degree: 2016, Texas A&M University

 Global warming and excessive use of depletable energy resources are considered as some of the most serious problems that need to be solved. As a… (more)

Subjects/Keywords: hybrid energy system; energy storage

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APA (6th Edition):

Abu-Elrub, A. M. A. (2016). Planning of a Hybrid Energy System Connected to a Distribution System. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158597

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):

Abu-Elrub, Ahmad Mohammad Amin. “Planning of a Hybrid Energy System Connected to a Distribution System.” 2016. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/158597.

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

MLA Handbook (7th Edition):

Abu-Elrub, Ahmad Mohammad Amin. “Planning of a Hybrid Energy System Connected to a Distribution System.” 2016. Web. 21 Feb 2020.

Vancouver:

Abu-Elrub AMA. Planning of a Hybrid Energy System Connected to a Distribution System. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/158597.

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

Council of Science Editors:

Abu-Elrub AMA. Planning of a Hybrid Energy System Connected to a Distribution System. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158597

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


Texas A&M University

8. Li, Shuo. Matrix Analysis of Communication and Brain Networks.

Degree: 2016, Texas A&M University

 In this dissertation, we study two network problems using matrices as our primary analysis tools. First, the limits of treating interference as noise are studied… (more)

Subjects/Keywords: Interference management; Treating interference as noise; Deterministic channel; Resting-state fMRI time-series; Unsupervised clustering; Metric learning; Mahalanobis distance; Matrix analysis

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APA (6th Edition):

Li, S. (2016). Matrix Analysis of Communication and Brain Networks. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159008

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):

Li, Shuo. “Matrix Analysis of Communication and Brain Networks.” 2016. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/159008.

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

MLA Handbook (7th Edition):

Li, Shuo. “Matrix Analysis of Communication and Brain Networks.” 2016. Web. 21 Feb 2020.

Vancouver:

Li S. Matrix Analysis of Communication and Brain Networks. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/159008.

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

Council of Science Editors:

Li S. Matrix Analysis of Communication and Brain Networks. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159008

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


Texas A&M University

9. Yang, Chen. A Framework of Incorporating Spatio-temporal Forecast in Look-ahead Grid Dispatch with Photovoltaic Generation.

Degree: 2013, Texas A&M University

 Increasing penetration of stochastic photovoltaic (PV) generation into the electric power system poses significant challenges to system operators. In the thesis, we evaluate the spatial… (more)

Subjects/Keywords: Spatio-temporal; PV generation forecast; Look-ahead dispatch

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APA (6th Edition):

Yang, C. (2013). A Framework of Incorporating Spatio-temporal Forecast in Look-ahead Grid Dispatch with Photovoltaic Generation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149546

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):

Yang, Chen. “A Framework of Incorporating Spatio-temporal Forecast in Look-ahead Grid Dispatch with Photovoltaic Generation.” 2013. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/149546.

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

MLA Handbook (7th Edition):

Yang, Chen. “A Framework of Incorporating Spatio-temporal Forecast in Look-ahead Grid Dispatch with Photovoltaic Generation.” 2013. Web. 21 Feb 2020.

Vancouver:

Yang C. A Framework of Incorporating Spatio-temporal Forecast in Look-ahead Grid Dispatch with Photovoltaic Generation. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/149546.

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

Council of Science Editors:

Yang C. A Framework of Incorporating Spatio-temporal Forecast in Look-ahead Grid Dispatch with Photovoltaic Generation. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149546

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


Texas A&M University

10. Guan, Yufan. Intelligent Economic Alarm Processor (IEAP).

Degree: 2013, Texas A&M University

 The advent of electricity market deregulation has placed great emphasis on the availability of information, the analysis of this information, and the subsequent decision-making to… (more)

Subjects/Keywords: power system; electricity market; fault section estimation; economic alarm

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APA (6th Edition):

Guan, Y. (2013). Intelligent Economic Alarm Processor (IEAP). (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151116

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):

Guan, Yufan. “Intelligent Economic Alarm Processor (IEAP).” 2013. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/151116.

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

MLA Handbook (7th Edition):

Guan, Yufan. “Intelligent Economic Alarm Processor (IEAP).” 2013. Web. 21 Feb 2020.

Vancouver:

Guan Y. Intelligent Economic Alarm Processor (IEAP). [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/151116.

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

Council of Science Editors:

Guan Y. Intelligent Economic Alarm Processor (IEAP). [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151116

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


Texas A&M University

11. Zhu, Xinxin. Wind Speed Forecasting for Power System Operation.

Degree: 2013, Texas A&M University

 In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and… (more)

Subjects/Keywords: Wind Forecasting; Space-Time

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APA (6th Edition):

Zhu, X. (2013). Wind Speed Forecasting for Power System Operation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151248

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):

Zhu, Xinxin. “Wind Speed Forecasting for Power System Operation.” 2013. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/151248.

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

MLA Handbook (7th Edition):

Zhu, Xinxin. “Wind Speed Forecasting for Power System Operation.” 2013. Web. 21 Feb 2020.

Vancouver:

Zhu X. Wind Speed Forecasting for Power System Operation. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/151248.

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

Council of Science Editors:

Zhu X. Wind Speed Forecasting for Power System Operation. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151248

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


Texas A&M University

12. Mohammad, Muneer. An Investigation of Multi-Domain Energy Dynamics.

Degree: 2014, Texas A&M University

 This research investigates common patterns in all energy systems to develop insights and a clearer understanding of energy conversion and transmissions. The potential benefits of… (more)

Subjects/Keywords: Energy Dynamics; power conversions; electromagnetic domain; archetype; energy systems; Patterns

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APA (6th Edition):

Mohammad, M. (2014). An Investigation of Multi-Domain Energy Dynamics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152720

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):

Mohammad, Muneer. “An Investigation of Multi-Domain Energy Dynamics.” 2014. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/152720.

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

MLA Handbook (7th Edition):

Mohammad, Muneer. “An Investigation of Multi-Domain Energy Dynamics.” 2014. Web. 21 Feb 2020.

Vancouver:

Mohammad M. An Investigation of Multi-Domain Energy Dynamics. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/152720.

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

Council of Science Editors:

Mohammad M. An Investigation of Multi-Domain Energy Dynamics. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152720

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


Texas A&M University

13. Torres, Jonathan Farina. Minimum Time/Minimum Fuel Control of an Axisymmetric Rigid Body.

Degree: 2014, Texas A&M University

 Many times it is necessary to reorient an aerial vehicle during flight in a minimum time or minimum fuel fashion. This thesis will present a… (more)

Subjects/Keywords: Minimum Time/Fuel Control; Eigenaxis Maneuvers; Minimum Time/Energy Control; Optimal Control; Rigid Body Repointing Maneuvers

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APA (6th Edition):

Torres, J. F. (2014). Minimum Time/Minimum Fuel Control of an Axisymmetric Rigid Body. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153242

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):

Torres, Jonathan Farina. “Minimum Time/Minimum Fuel Control of an Axisymmetric Rigid Body.” 2014. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/153242.

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

MLA Handbook (7th Edition):

Torres, Jonathan Farina. “Minimum Time/Minimum Fuel Control of an Axisymmetric Rigid Body.” 2014. Web. 21 Feb 2020.

Vancouver:

Torres JF. Minimum Time/Minimum Fuel Control of an Axisymmetric Rigid Body. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/153242.

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

Council of Science Editors:

Torres JF. Minimum Time/Minimum Fuel Control of an Axisymmetric Rigid Body. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153242

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


Texas A&M University

14. Gu, Yingzhong. Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources.

Degree: 2014, Texas A&M University

 In the past decade, there has been sustained efforts around the globe in developing renewable energy-based generation in power systems. However, many renewables such as… (more)

Subjects/Keywords: Power System Operation; Renewable Energy; Security Management; Stochastic Look-ahead Dispatch

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APA (6th Edition):

Gu, Y. (2014). Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153938

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):

Gu, Yingzhong. “Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources.” 2014. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/153938.

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

MLA Handbook (7th Edition):

Gu, Yingzhong. “Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources.” 2014. Web. 21 Feb 2020.

Vancouver:

Gu Y. Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/153938.

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

Council of Science Editors:

Gu Y. Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153938

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


Texas A&M University

15. Cai, Xinyi. Symmetric Projections of the Entropy Region.

Degree: 2014, Texas A&M University

 Entropy inequalities play a central role in proving converse coding theorems for network information theoretic problems. This thesis studies two new aspects of entropy inequalities.… (more)

Subjects/Keywords: symmetric projections; entropy region; entropy inequalities

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APA (6th Edition):

Cai, X. (2014). Symmetric Projections of the Entropy Region. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154097

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):

Cai, Xinyi. “Symmetric Projections of the Entropy Region.” 2014. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/154097.

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

MLA Handbook (7th Edition):

Cai, Xinyi. “Symmetric Projections of the Entropy Region.” 2014. Web. 21 Feb 2020.

Vancouver:

Cai X. Symmetric Projections of the Entropy Region. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/154097.

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

Council of Science Editors:

Cai X. Symmetric Projections of the Entropy Region. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154097

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


Texas A&M University

16. Lv, Dan. Modeling Cascading Failures in Complex Networks.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 Large-scale cascading failures can be triggered by very few initial failures, leading to severe damages in complex networks. As modern society becomes more and more… (more)

Subjects/Keywords: cascading failure; complex network

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APA (6th Edition):

Lv, D. (2017). Modeling Cascading Failures in Complex Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165947

Chicago Manual of Style (16th Edition):

Lv, Dan. “Modeling Cascading Failures in Complex Networks.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/165947.

MLA Handbook (7th Edition):

Lv, Dan. “Modeling Cascading Failures in Complex Networks.” 2017. Web. 21 Feb 2020.

Vancouver:

Lv D. Modeling Cascading Failures in Complex Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/165947.

Council of Science Editors:

Lv D. Modeling Cascading Failures in Complex Networks. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165947


Texas A&M University

17. Harris, William Robert. Sustainable Rural Microgrid: Engineering and Economics.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Traditional electrification strategies focused on centralized grid expansion are financially infeasible for extending electricity connections to millions of rural households in developing countries. Instead, estimates… (more)

Subjects/Keywords: Rural electrification; microgrid; micro grid; Sustainable energy; renewable energy

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APA (6th Edition):

Harris, W. R. (2017). Sustainable Rural Microgrid: Engineering and Economics. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165748

Chicago Manual of Style (16th Edition):

Harris, William Robert. “Sustainable Rural Microgrid: Engineering and Economics.” 2017. Masters Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/165748.

MLA Handbook (7th Edition):

Harris, William Robert. “Sustainable Rural Microgrid: Engineering and Economics.” 2017. Web. 21 Feb 2020.

Vancouver:

Harris WR. Sustainable Rural Microgrid: Engineering and Economics. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/165748.

Council of Science Editors:

Harris WR. Sustainable Rural Microgrid: Engineering and Economics. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165748


Texas A&M University

18. Kundu, Arnav. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.

Degree: MS, Electrical Engineering, 2019, Texas A&M University

 The electric power grid uses a set of measuring and switching devices for its operations and control. The data retrieved from the measuring instruments is… (more)

Subjects/Keywords: Deep Neural Networks; False Data Injection Attacks; Anomaly Detection; Auto-encoders; Recurrent Neural Networks; Location; Attention

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APA (6th Edition):

Kundu, A. (2019). DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186185

Chicago Manual of Style (16th Edition):

Kundu, Arnav. “DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.” 2019. Masters Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/186185.

MLA Handbook (7th Edition):

Kundu, Arnav. “DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID.” 2019. Web. 21 Feb 2020.

Vancouver:

Kundu A. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/186185.

Council of Science Editors:

Kundu A. DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/186185


Texas A&M University

19. Wu, Meng. Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 This dissertation is motivated by the lack of combined physics-based and data-driven framework for solving power system challenges that are introduced by the integration of… (more)

Subjects/Keywords: phasor measurement unit; bad data detection; wind farm; sub-synchronous oscillation; doubly-fed induction generator; model initialization; power plant model validation; model diagnosis; power system voltage stability.

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APA (6th Edition):

Wu, M. (2017). Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173140

Chicago Manual of Style (16th Edition):

Wu, Meng. “Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/173140.

MLA Handbook (7th Edition):

Wu, Meng. “Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration.” 2017. Web. 21 Feb 2020.

Vancouver:

Wu M. Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/173140.

Council of Science Editors:

Wu M. Physics-Based and Data-Driven Analytics for Enhanced Planning and Operations in Power Systems with Deep Renewable Penetration. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173140


Texas A&M University

20. Ma, Ke. Dynamic Pricing Problems Arising in the Adoption of Renewable Energy.

Degree: PhD, Computer Engineering, 2018, Texas A&M University

 There are two problems at the interface of electrical power and economics that are examined in this thesis. The first problem addresses the issue of… (more)

Subjects/Keywords: Dynamic Pricing; Stochastic Systems

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APA (6th Edition):

Ma, K. (2018). Dynamic Pricing Problems Arising in the Adoption of Renewable Energy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174330

Chicago Manual of Style (16th Edition):

Ma, Ke. “Dynamic Pricing Problems Arising in the Adoption of Renewable Energy.” 2018. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/174330.

MLA Handbook (7th Edition):

Ma, Ke. “Dynamic Pricing Problems Arising in the Adoption of Renewable Energy.” 2018. Web. 21 Feb 2020.

Vancouver:

Ma K. Dynamic Pricing Problems Arising in the Adoption of Renewable Energy. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/174330.

Council of Science Editors:

Ma K. Dynamic Pricing Problems Arising in the Adoption of Renewable Energy. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174330


Texas A&M University

21. Wang, Yang. An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine.

Degree: PhD, Electrical Engineering, 2015, Texas A&M University

 Fuel economy of conventional hybrid electric vehicles (HEVs) gets limited improvements because of constraints from conventional internal combustion engines (ICEs). Electric vehicles (EVs) have the… (more)

Subjects/Keywords: Hybrid Electric Vehicle; Dynamic Programming; StarRotor engine; Optimal Design

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

APA (6th Edition):

Wang, Y. (2015). An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174217

Chicago Manual of Style (16th Edition):

Wang, Yang. “An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine.” 2015. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/174217.

MLA Handbook (7th Edition):

Wang, Yang. “An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine.” 2015. Web. 21 Feb 2020.

Vancouver:

Wang Y. An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/174217.

Council of Science Editors:

Wang Y. An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/174217


Texas A&M University

22. Zhang, Bei. Resilient Grid Operation by Integrating Photovoltaic Generation, Mobile Electric Vehicle Battery Energy Storage, and Fixed Battery Energy Storage.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 The widespread utilization of photovoltaic (PV) generation, and battery energy storage (BES) in mobile (Electrical Vehicles-EVs) and fixed form is bringing opportunities, as well as… (more)

Subjects/Keywords: Resilient; electrical vehicle; battery energy storage; photovoltaic; system flexibility

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APA (6th Edition):

Zhang, B. (2017). Resilient Grid Operation by Integrating Photovoltaic Generation, Mobile Electric Vehicle Battery Energy Storage, and Fixed Battery Energy Storage. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169564

Chicago Manual of Style (16th Edition):

Zhang, Bei. “Resilient Grid Operation by Integrating Photovoltaic Generation, Mobile Electric Vehicle Battery Energy Storage, and Fixed Battery Energy Storage.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/169564.

MLA Handbook (7th Edition):

Zhang, Bei. “Resilient Grid Operation by Integrating Photovoltaic Generation, Mobile Electric Vehicle Battery Energy Storage, and Fixed Battery Energy Storage.” 2017. Web. 21 Feb 2020.

Vancouver:

Zhang B. Resilient Grid Operation by Integrating Photovoltaic Generation, Mobile Electric Vehicle Battery Energy Storage, and Fixed Battery Energy Storage. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/169564.

Council of Science Editors:

Zhang B. Resilient Grid Operation by Integrating Photovoltaic Generation, Mobile Electric Vehicle Battery Energy Storage, and Fixed Battery Energy Storage. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169564


Texas A&M University

23. Clark, Angelica. A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 This research proposes a weak grid detection method that is a steady state screening method to identify clusters of buses where potential coordinated voltage oscillations… (more)

Subjects/Keywords: Power Systems; renewable energy; renewable integration; weak grid

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APA (6th Edition):

Clark, A. (2017). A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169636

Chicago Manual of Style (16th Edition):

Clark, Angelica. “A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems.” 2017. Masters Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/169636.

MLA Handbook (7th Edition):

Clark, Angelica. “A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems.” 2017. Web. 21 Feb 2020.

Vancouver:

Clark A. A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/169636.

Council of Science Editors:

Clark A. A Machine Learning Approach to Weak Grid Identification for Large Scale Electrical Power Systems. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169636


Texas A&M University

24. Urquidez, Omar Armando. Technical and Economic Integration of Voltage Source Converter Based High Voltage Direct Current Transmission in Power Systems.

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

 New challenges face the electrical system every day. These new challenges may need to be addressed with more than just conventional AC solutions. Voltage Source… (more)

Subjects/Keywords: power systems dynamics; transmission planning; VSC-HVDC

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APA (6th Edition):

Urquidez, O. A. (2016). Technical and Economic Integration of Voltage Source Converter Based High Voltage Direct Current Transmission in Power Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156957

Chicago Manual of Style (16th Edition):

Urquidez, Omar Armando. “Technical and Economic Integration of Voltage Source Converter Based High Voltage Direct Current Transmission in Power Systems.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/156957.

MLA Handbook (7th Edition):

Urquidez, Omar Armando. “Technical and Economic Integration of Voltage Source Converter Based High Voltage Direct Current Transmission in Power Systems.” 2016. Web. 21 Feb 2020.

Vancouver:

Urquidez OA. Technical and Economic Integration of Voltage Source Converter Based High Voltage Direct Current Transmission in Power Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/156957.

Council of Science Editors:

Urquidez OA. Technical and Economic Integration of Voltage Source Converter Based High Voltage Direct Current Transmission in Power Systems. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156957


Texas A&M University

25. Chen, Yang. Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems.

Degree: 2015, Texas A&M University

 The large-scale streaming data collected from the increasing deployed phasor measurement unit (PMU) devices poses significant difficulties for real-time data-driven analytics in power systems. This… (more)

Subjects/Keywords: Phasor measurement unit; Dimensionality reduction; Principal component analysis; Early anomaly detection; Low-frequency oscillation; Classification; Visualization

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APA (6th Edition):

Chen, Y. (2015). Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156508

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):

Chen, Yang. “Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems.” 2015. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/156508.

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

MLA Handbook (7th Edition):

Chen, Yang. “Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems.” 2015. Web. 21 Feb 2020.

Vancouver:

Chen Y. Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/156508.

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

Council of Science Editors:

Chen Y. Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156508

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


Texas A&M University

26. Torkan, Arash. Design, Simulation and Implementation of a High Step-up Z-source DC-DC Converter with Flyback and Voltage Multiplier.

Degree: 2016, Texas A&M University

 Nowadays, because of pollution problems of the fossil fuels and their unpleasant effects on the earth planet and people life, renewable energy sources such az… (more)

Subjects/Keywords: DC-DC Power Convertors; Z-source Converter; High Step-up Converters; High Voltage Gain Ratio; High step-up Applications; Photovoltaic Applications; Power Electronics

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APA (6th Edition):

Torkan, A. (2016). Design, Simulation and Implementation of a High Step-up Z-source DC-DC Converter with Flyback and Voltage Multiplier. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158947

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):

Torkan, Arash. “Design, Simulation and Implementation of a High Step-up Z-source DC-DC Converter with Flyback and Voltage Multiplier.” 2016. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/158947.

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

MLA Handbook (7th Edition):

Torkan, Arash. “Design, Simulation and Implementation of a High Step-up Z-source DC-DC Converter with Flyback and Voltage Multiplier.” 2016. Web. 21 Feb 2020.

Vancouver:

Torkan A. Design, Simulation and Implementation of a High Step-up Z-source DC-DC Converter with Flyback and Voltage Multiplier. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/158947.

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

Council of Science Editors:

Torkan A. Design, Simulation and Implementation of a High Step-up Z-source DC-DC Converter with Flyback and Voltage Multiplier. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158947

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


Texas A&M University

27. Chen, Bo. Black Start Restoration for Electric Distribution Systems and Microgrids.

Degree: 2017, Texas A&M University

 Modern power systems face increased risk of wide area blackouts caused by extreme weather events, man-made errors, cyber-attacks, and other threats. In order to promptly… (more)

Subjects/Keywords: black start restoration; distribution systems; microgrids; dynamic optimization

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APA (6th Edition):

Chen, B. (2017). Black Start Restoration for Electric Distribution Systems and Microgrids. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161665

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):

Chen, Bo. “Black Start Restoration for Electric Distribution Systems and Microgrids.” 2017. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/161665.

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

MLA Handbook (7th Edition):

Chen, Bo. “Black Start Restoration for Electric Distribution Systems and Microgrids.” 2017. Web. 21 Feb 2020.

Vancouver:

Chen B. Black Start Restoration for Electric Distribution Systems and Microgrids. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/161665.

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

Council of Science Editors:

Chen B. Black Start Restoration for Electric Distribution Systems and Microgrids. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161665

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


Texas A&M University

28. Feng, Xianyong. A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems.

Degree: 2012, Texas A&M University

 All-electric ship power systems have limited generation capacity and finite rotating inertia compared with large power systems. Moreover, all-electric ship power systems include large portions… (more)

Subjects/Keywords: All-electric ship power system; cooperative control; multi-agent system; real-time load management

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APA (6th Edition):

Feng, X. (2012). A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11031

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):

Feng, Xianyong. “A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems.” 2012. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11031.

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

MLA Handbook (7th Edition):

Feng, Xianyong. “A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems.” 2012. Web. 21 Feb 2020.

Vancouver:

Feng X. A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11031.

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

Council of Science Editors:

Feng X. A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11031

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


Texas A&M University

29. Thatte, Anupam Ajit. Risk Aware Robust Decision Making in Power Systems with Renewable Resources.

Degree: 2014, Texas A&M University

 The increasing penetration of renewable generation poses significant risks to the reliable operation of power systems, mainly due to the variable and uncertain nature of… (more)

Subjects/Keywords: bidding strategy; economic dispatch; electricity market; energy storage; ramp product; risk measure; renewable resources; robust optimization; uncertainty set; virtual power plant; wind power integration

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APA (6th Edition):

Thatte, A. A. (2014). Risk Aware Robust Decision Making in Power Systems with Renewable Resources. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153978

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):

Thatte, Anupam Ajit. “Risk Aware Robust Decision Making in Power Systems with Renewable Resources.” 2014. Thesis, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/153978.

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

MLA Handbook (7th Edition):

Thatte, Anupam Ajit. “Risk Aware Robust Decision Making in Power Systems with Renewable Resources.” 2014. Web. 21 Feb 2020.

Vancouver:

Thatte AA. Risk Aware Robust Decision Making in Power Systems with Renewable Resources. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/153978.

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

Council of Science Editors:

Thatte AA. Risk Aware Robust Decision Making in Power Systems with Renewable Resources. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153978

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


Texas A&M University

30. Ko, Woo Hyun. Middleware and Architecture for Advanced Applications of Cyber-physical Systems.

Degree: PhD, Computer Engineering, 2017, Texas A&M University

 In this thesis, we address issues related to middleware, architecture and applications of cyber-physical systems. The first problem we address is the cross-layer design of… (more)

Subjects/Keywords: Cyber-Physical Systems; Middleware; Outlier rejection; Cybersecurity; Laser-Origami; Unmanned aerial system traffic management

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APA (6th Edition):

Ko, W. H. (2017). Middleware and Architecture for Advanced Applications of Cyber-physical Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169559

Chicago Manual of Style (16th Edition):

Ko, Woo Hyun. “Middleware and Architecture for Advanced Applications of Cyber-physical Systems.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 21, 2020. http://hdl.handle.net/1969.1/169559.

MLA Handbook (7th Edition):

Ko, Woo Hyun. “Middleware and Architecture for Advanced Applications of Cyber-physical Systems.” 2017. Web. 21 Feb 2020.

Vancouver:

Ko WH. Middleware and Architecture for Advanced Applications of Cyber-physical Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1969.1/169559.

Council of Science Editors:

Ko WH. Middleware and Architecture for Advanced Applications of Cyber-physical Systems. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169559

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