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You searched for subject:(Load forecasting). Showing records 1 – 30 of 79 total matches.

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University of Nairobi

1. Kioko, Francis K. Electricity load forecasting using artificial neural networks .

Degree: 2010, University of Nairobi

 Electricity load forecasting has become increasingly important for the power industry. To generate "what is reasonably required" one needs forecast the future electricity demands. However,… (more)

Subjects/Keywords: Electricity load forecasting; Artificial neural network

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APA (6th Edition):

Kioko, F. K. (2010). Electricity load forecasting using artificial neural networks . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13836

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):

Kioko, Francis K. “Electricity load forecasting using artificial neural networks .” 2010. Thesis, University of Nairobi. Accessed May 21, 2019. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13836.

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

MLA Handbook (7th Edition):

Kioko, Francis K. “Electricity load forecasting using artificial neural networks .” 2010. Web. 21 May 2019.

Vancouver:

Kioko FK. Electricity load forecasting using artificial neural networks . [Internet] [Thesis]. University of Nairobi; 2010. [cited 2019 May 21]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13836.

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

Council of Science Editors:

Kioko FK. Electricity load forecasting using artificial neural networks . [Thesis]. University of Nairobi; 2010. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13836

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


University of Miami

2. Buitrago, Jaime H. Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs.

Degree: PhD, Industrial Engineering (Engineering), 2017, University of Miami

 Short-term load forecasting is crucial for the operations planning of an electrical grid. Forecasting the next 24 h of electrical load in a grid allows… (more)

Subjects/Keywords: Artificial Neural Networks; Machine Learning; NARX; Short-term Load Forecasting; Load Forecasting; Artificial Intelligence

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APA (6th Edition):

Buitrago, J. H. (2017). Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1908

Chicago Manual of Style (16th Edition):

Buitrago, Jaime H. “Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs.” 2017. Doctoral Dissertation, University of Miami. Accessed May 21, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/1908.

MLA Handbook (7th Edition):

Buitrago, Jaime H. “Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs.” 2017. Web. 21 May 2019.

Vancouver:

Buitrago JH. Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs. [Internet] [Doctoral dissertation]. University of Miami; 2017. [cited 2019 May 21]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1908.

Council of Science Editors:

Buitrago JH. Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs. [Doctoral Dissertation]. University of Miami; 2017. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1908


NSYSU

3. Huang, Jhao-Bi. Design of Transformer Terminal Unit for Transformer Management System.

Degree: Master, Electrical Engineering, 2012, NSYSU

 With the economic development, the high quality has become a critical issue for service continuous of power companies. To ensure the stable power supply, the… (more)

Subjects/Keywords: demand response; load management; temperature sensitivity; load forecasting; transformer terminal unit

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APA (6th Edition):

Huang, J. (2012). Design of Transformer Terminal Unit for Transformer Management System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-111242

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):

Huang, Jhao-Bi. “Design of Transformer Terminal Unit for Transformer Management System.” 2012. Thesis, NSYSU. Accessed May 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-111242.

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

MLA Handbook (7th Edition):

Huang, Jhao-Bi. “Design of Transformer Terminal Unit for Transformer Management System.” 2012. Web. 21 May 2019.

Vancouver:

Huang J. Design of Transformer Terminal Unit for Transformer Management System. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 May 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-111242.

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

Council of Science Editors:

Huang J. Design of Transformer Terminal Unit for Transformer Management System. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-111242

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


IUPUI

4. Amini, Amin. A novel approach to forecast and manage electrical maximum demand.

Degree: 2017, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Electric demand charge is a large portion (usually 40%) of electric bill in residential, commercial, and manufacturing sectors. This charge… (more)

Subjects/Keywords: Load Forecasting; Maximum Demand; Demand Management; Demand Response; Load Shedding

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APA (6th Edition):

Amini, A. (2017). A novel approach to forecast and manage electrical maximum demand. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/12825

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):

Amini, Amin. “A novel approach to forecast and manage electrical maximum demand.” 2017. Thesis, IUPUI. Accessed May 21, 2019. http://hdl.handle.net/1805/12825.

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

MLA Handbook (7th Edition):

Amini, Amin. “A novel approach to forecast and manage electrical maximum demand.” 2017. Web. 21 May 2019.

Vancouver:

Amini A. A novel approach to forecast and manage electrical maximum demand. [Internet] [Thesis]. IUPUI; 2017. [cited 2019 May 21]. Available from: http://hdl.handle.net/1805/12825.

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

Council of Science Editors:

Amini A. A novel approach to forecast and manage electrical maximum demand. [Thesis]. IUPUI; 2017. Available from: http://hdl.handle.net/1805/12825

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


Ohio University

5. Sharifi, Mohammad Shafi. Electric Residential Load Growth in Kabul City-Afghanistan for Sustainable Situation.

Degree: MS, Electrical Engineering (Engineering and Technology), 2009, Ohio University

Load growth/forecasting have become a significant importance research area to the operation of electricity organizations whether they are governmental or nongovernmental entities. It enhances… (more)

Subjects/Keywords: Electrical Engineering; Energy; Power System; Load Growth; Load Forecasting; Residential Load Growth; Sustainability

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APA (6th Edition):

Sharifi, M. S. (2009). Electric Residential Load Growth in Kabul City-Afghanistan for Sustainable Situation. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1257515533

Chicago Manual of Style (16th Edition):

Sharifi, Mohammad Shafi. “Electric Residential Load Growth in Kabul City-Afghanistan for Sustainable Situation.” 2009. Masters Thesis, Ohio University. Accessed May 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1257515533.

MLA Handbook (7th Edition):

Sharifi, Mohammad Shafi. “Electric Residential Load Growth in Kabul City-Afghanistan for Sustainable Situation.” 2009. Web. 21 May 2019.

Vancouver:

Sharifi MS. Electric Residential Load Growth in Kabul City-Afghanistan for Sustainable Situation. [Internet] [Masters thesis]. Ohio University; 2009. [cited 2019 May 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1257515533.

Council of Science Editors:

Sharifi MS. Electric Residential Load Growth in Kabul City-Afghanistan for Sustainable Situation. [Masters Thesis]. Ohio University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1257515533


Baylor University

6. Du, Shu, 1984-. Short-term load forecasting using system-type neural network architecture.

Degree: Engineering., 2009, Baylor University

 This thesis presents a methodology for short-term load forecasting using a system-type neural network based on semigroup theory. A technique referred to as algebraic decomposition… (more)

Subjects/Keywords: Electric power plants  – Load  – Forecasting.; Electric power consumption  – Forecasting.; Neural networks (Computer science)

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APA (6th Edition):

Du, Shu, 1. (2009). Short-term load forecasting using system-type neural network architecture. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5374

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):

Du, Shu, 1984-. “Short-term load forecasting using system-type neural network architecture. ” 2009. Thesis, Baylor University. Accessed May 21, 2019. http://hdl.handle.net/2104/5374.

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

MLA Handbook (7th Edition):

Du, Shu, 1984-. “Short-term load forecasting using system-type neural network architecture. ” 2009. Web. 21 May 2019.

Vancouver:

Du, Shu 1. Short-term load forecasting using system-type neural network architecture. [Internet] [Thesis]. Baylor University; 2009. [cited 2019 May 21]. Available from: http://hdl.handle.net/2104/5374.

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

Council of Science Editors:

Du, Shu 1. Short-term load forecasting using system-type neural network architecture. [Thesis]. Baylor University; 2009. Available from: http://hdl.handle.net/2104/5374

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

7. Panapakidis, Ioannis. Διαμόρφωση τυπικών καμπυλών ηλεκτρικού φορτίου και εφαρμογή σε θέματα πρόβλεψης φορτίου και απόκρισης της ζήτησης.

Degree: 2015, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

Due to the continually changing scene in the planning and operation of electrical energy systems there is a need for the efficient treatment of many… (more)

Subjects/Keywords: Προφίλ φορτίου; Πρόβλεψη φορτίου; Απόκριση της ζήτησης; Συσταδοποίηση; Load profiles; Load forecasting; Demand response; Clustering

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APA (6th Edition):

Panapakidis, I. (2015). Διαμόρφωση τυπικών καμπυλών ηλεκτρικού φορτίου και εφαρμογή σε θέματα πρόβλεψης φορτίου και απόκρισης της ζήτησης. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/37874

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):

Panapakidis, Ioannis. “Διαμόρφωση τυπικών καμπυλών ηλεκτρικού φορτίου και εφαρμογή σε θέματα πρόβλεψης φορτίου και απόκρισης της ζήτησης.” 2015. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed May 21, 2019. http://hdl.handle.net/10442/hedi/37874.

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

MLA Handbook (7th Edition):

Panapakidis, Ioannis. “Διαμόρφωση τυπικών καμπυλών ηλεκτρικού φορτίου και εφαρμογή σε θέματα πρόβλεψης φορτίου και απόκρισης της ζήτησης.” 2015. Web. 21 May 2019.

Vancouver:

Panapakidis I. Διαμόρφωση τυπικών καμπυλών ηλεκτρικού φορτίου και εφαρμογή σε θέματα πρόβλεψης φορτίου και απόκρισης της ζήτησης. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2015. [cited 2019 May 21]. Available from: http://hdl.handle.net/10442/hedi/37874.

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

Council of Science Editors:

Panapakidis I. Διαμόρφωση τυπικών καμπυλών ηλεκτρικού φορτίου και εφαρμογή σε θέματα πρόβλεψης φορτίου και απόκρισης της ζήτησης. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2015. Available from: http://hdl.handle.net/10442/hedi/37874

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


University of Edinburgh

8. Paisios, Andreas. Profiling and disaggregation of electricity demands measured in MV distribution networks.

Degree: PhD, 2017, University of Edinburgh

 Despite the extensive deployment of smart-meters (SMs) at the low-voltage (LV) level, which are either fully operational or will be in the near future, distribution… (more)

Subjects/Keywords: distribution network operators; load variability; demand-side-management; MV-substations; load forecasting; demand

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APA (6th Edition):

Paisios, A. (2017). Profiling and disaggregation of electricity demands measured in MV distribution networks. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/28777

Chicago Manual of Style (16th Edition):

Paisios, Andreas. “Profiling and disaggregation of electricity demands measured in MV distribution networks.” 2017. Doctoral Dissertation, University of Edinburgh. Accessed May 21, 2019. http://hdl.handle.net/1842/28777.

MLA Handbook (7th Edition):

Paisios, Andreas. “Profiling and disaggregation of electricity demands measured in MV distribution networks.” 2017. Web. 21 May 2019.

Vancouver:

Paisios A. Profiling and disaggregation of electricity demands measured in MV distribution networks. [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2019 May 21]. Available from: http://hdl.handle.net/1842/28777.

Council of Science Editors:

Paisios A. Profiling and disaggregation of electricity demands measured in MV distribution networks. [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/28777


NSYSU

9. Hsu, Yuan-Yu. A Study on Power System Short-Term Load Forecasting.

Degree: Master, Electrical Engineering, 2018, NSYSU

 Accurate Short-Term Load Forecast (STLF) is important in ensuring efficient and reliable power system operations. In this study, we propose a two-stage Artificial Neural Network… (more)

Subjects/Keywords: day-ahead electricity market; neural networks; short-term load forecasting; load curve adjustment method

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APA (6th Edition):

Hsu, Y. (2018). A Study on Power System Short-Term Load Forecasting. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802118-175759

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):

Hsu, Yuan-Yu. “A Study on Power System Short-Term Load Forecasting.” 2018. Thesis, NSYSU. Accessed May 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802118-175759.

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

MLA Handbook (7th Edition):

Hsu, Yuan-Yu. “A Study on Power System Short-Term Load Forecasting.” 2018. Web. 21 May 2019.

Vancouver:

Hsu Y. A Study on Power System Short-Term Load Forecasting. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 May 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802118-175759.

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

Council of Science Editors:

Hsu Y. A Study on Power System Short-Term Load Forecasting. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802118-175759

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


University of Johannesburg

10. Payne, Daniel Frederik. Modelling of different long-term electrical forecasts and its practical applications for transmission network flow studies.

Degree: 2009, University of Johannesburg

D.Phil

The prediction of the expected transmission network loads as required for transmission network power flow studies, has become very important and much more complex… (more)

Subjects/Keywords: Electric power-plants; Load forecasting; Electric power systems; Electric power distribution; Load dispatching

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APA (6th Edition):

Payne, D. F. (2009). Modelling of different long-term electrical forecasts and its practical applications for transmission network flow studies. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/2179

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):

Payne, Daniel Frederik. “Modelling of different long-term electrical forecasts and its practical applications for transmission network flow studies.” 2009. Thesis, University of Johannesburg. Accessed May 21, 2019. http://hdl.handle.net/10210/2179.

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

MLA Handbook (7th Edition):

Payne, Daniel Frederik. “Modelling of different long-term electrical forecasts and its practical applications for transmission network flow studies.” 2009. Web. 21 May 2019.

Vancouver:

Payne DF. Modelling of different long-term electrical forecasts and its practical applications for transmission network flow studies. [Internet] [Thesis]. University of Johannesburg; 2009. [cited 2019 May 21]. Available from: http://hdl.handle.net/10210/2179.

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

Council of Science Editors:

Payne DF. Modelling of different long-term electrical forecasts and its practical applications for transmission network flow studies. [Thesis]. University of Johannesburg; 2009. Available from: http://hdl.handle.net/10210/2179

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


University of Victoria

11. Harsamizadeh Tehrani, Nima. Demand-side participation & baseline load analysis in electricity markets.

Degree: Department of Mechanical Engineering, 2016, University of Victoria

 Demand participation is a basic ingredient of the next generation of power exchanges in electricity markets. A key challenge in implementing demand response stems from… (more)

Subjects/Keywords: Demand Response; Smart Grid; Load Aggregator; Baseline; Forecasting; Learning

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APA (6th Edition):

Harsamizadeh Tehrani, N. (2016). Demand-side participation & baseline load analysis in electricity markets. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7659

Chicago Manual of Style (16th Edition):

Harsamizadeh Tehrani, Nima. “Demand-side participation & baseline load analysis in electricity markets.” 2016. Masters Thesis, University of Victoria. Accessed May 21, 2019. http://hdl.handle.net/1828/7659.

MLA Handbook (7th Edition):

Harsamizadeh Tehrani, Nima. “Demand-side participation & baseline load analysis in electricity markets.” 2016. Web. 21 May 2019.

Vancouver:

Harsamizadeh Tehrani N. Demand-side participation & baseline load analysis in electricity markets. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2019 May 21]. Available from: http://hdl.handle.net/1828/7659.

Council of Science Editors:

Harsamizadeh Tehrani N. Demand-side participation & baseline load analysis in electricity markets. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7659


Queensland University of Technology

12. Li, Zili. Topics in deregulated electricity markets.

Degree: 2016, Queensland University of Technology

 The deregulation and introduction of market oriented competition has been a feature of major electricity markets worldwide in recent decades. This deregulation has given rise… (more)

Subjects/Keywords: Load forecasting; electricity price; transmission constraints; deregulation; strategic bidding and rebidding

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APA (6th Edition):

Li, Z. (2016). Topics in deregulated electricity markets. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/98895/

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, Zili. “Topics in deregulated electricity markets.” 2016. Thesis, Queensland University of Technology. Accessed May 21, 2019. https://eprints.qut.edu.au/98895/.

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

MLA Handbook (7th Edition):

Li, Zili. “Topics in deregulated electricity markets.” 2016. Web. 21 May 2019.

Vancouver:

Li Z. Topics in deregulated electricity markets. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2019 May 21]. Available from: https://eprints.qut.edu.au/98895/.

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

Council of Science Editors:

Li Z. Topics in deregulated electricity markets. [Thesis]. Queensland University of Technology; 2016. Available from: https://eprints.qut.edu.au/98895/

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


University of Waterloo

13. Ahmadi, Lena. The Effect of Wide Spread Adoption of Plug-in Hybrid Electric Vehicles on Emissions and Electric Generating Capacity.

Degree: 2014, University of Waterloo

 Effects of the wide spread adoption of PHEVs on Ontario electric generating capacity from the year 2014 to 2030 is studied. Long-term forecasting models of… (more)

Subjects/Keywords: PHEVs; Optimization; Load Demand; Forecasting; Electric Generating Capacity

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APA (6th Edition):

Ahmadi, L. (2014). The Effect of Wide Spread Adoption of Plug-in Hybrid Electric Vehicles on Emissions and Electric Generating Capacity. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8907

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):

Ahmadi, Lena. “The Effect of Wide Spread Adoption of Plug-in Hybrid Electric Vehicles on Emissions and Electric Generating Capacity.” 2014. Thesis, University of Waterloo. Accessed May 21, 2019. http://hdl.handle.net/10012/8907.

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

MLA Handbook (7th Edition):

Ahmadi, Lena. “The Effect of Wide Spread Adoption of Plug-in Hybrid Electric Vehicles on Emissions and Electric Generating Capacity.” 2014. Web. 21 May 2019.

Vancouver:

Ahmadi L. The Effect of Wide Spread Adoption of Plug-in Hybrid Electric Vehicles on Emissions and Electric Generating Capacity. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2019 May 21]. Available from: http://hdl.handle.net/10012/8907.

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

Council of Science Editors:

Ahmadi L. The Effect of Wide Spread Adoption of Plug-in Hybrid Electric Vehicles on Emissions and Electric Generating Capacity. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8907

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

14. Farland, Jonathan. Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach.

Degree: MS, Resource Economics, 2013, University of Massachusetts

  Power system planning, reliability analysis and economically efficient capacity scheduling all rely heavily on electricity demand forecasting models. In the context of a deregulated… (more)

Subjects/Keywords: Semiparametric Regression; Load Forecasting; Penalized Splines; Mixed Models; Econometrics

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

APA (6th Edition):

Farland, J. (2013). Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/1120

Chicago Manual of Style (16th Edition):

Farland, Jonathan. “Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach.” 2013. Masters Thesis, University of Massachusetts. Accessed May 21, 2019. https://scholarworks.umass.edu/theses/1120.

MLA Handbook (7th Edition):

Farland, Jonathan. “Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach.” 2013. Web. 21 May 2019.

Vancouver:

Farland J. Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach. [Internet] [Masters thesis]. University of Massachusetts; 2013. [cited 2019 May 21]. Available from: https://scholarworks.umass.edu/theses/1120.

Council of Science Editors:

Farland J. Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach. [Masters Thesis]. University of Massachusetts; 2013. Available from: https://scholarworks.umass.edu/theses/1120

15. Ηλίας, Χαράλαμπος. Συμβολή στη βραχυπρόθεσμη και μεσοπρόθεσμη πρόβλεψη ζήτησης ηλεκτρικού φορτιού και ενέργειας με χρήση ασαφούς λογικής.

Degree: 2012, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

The present thesis is focused on the investigation and the study of the problem of load and energy demand forecasting of power systems in short-term… (more)

Subjects/Keywords: Βραχυπρόθεσμη πρόβλεψη φορτίου; Μεσοπρόθεσμη πρόβλεψη ενέργειας; Ασαφής λογική; Διάστημα εμπιστοσύνης; Short-term load forecasting; Midterm energy forecasting; Fuzzy logic; Confidence interval

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APA (6th Edition):

Ηλίας, . . (2012). Συμβολή στη βραχυπρόθεσμη και μεσοπρόθεσμη πρόβλεψη ζήτησης ηλεκτρικού φορτιού και ενέργειας με χρήση ασαφούς λογικής. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/27109

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):

Ηλίας, Χαράλαμπος. “Συμβολή στη βραχυπρόθεσμη και μεσοπρόθεσμη πρόβλεψη ζήτησης ηλεκτρικού φορτιού και ενέργειας με χρήση ασαφούς λογικής.” 2012. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed May 21, 2019. http://hdl.handle.net/10442/hedi/27109.

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

MLA Handbook (7th Edition):

Ηλίας, Χαράλαμπος. “Συμβολή στη βραχυπρόθεσμη και μεσοπρόθεσμη πρόβλεψη ζήτησης ηλεκτρικού φορτιού και ενέργειας με χρήση ασαφούς λογικής.” 2012. Web. 21 May 2019.

Vancouver:

Ηλίας . Συμβολή στη βραχυπρόθεσμη και μεσοπρόθεσμη πρόβλεψη ζήτησης ηλεκτρικού φορτιού και ενέργειας με χρήση ασαφούς λογικής. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. [cited 2019 May 21]. Available from: http://hdl.handle.net/10442/hedi/27109.

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

Council of Science Editors:

Ηλίας . Συμβολή στη βραχυπρόθεσμη και μεσοπρόθεσμη πρόβλεψη ζήτησης ηλεκτρικού φορτιού και ενέργειας με χρήση ασαφούς λογικής. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. Available from: http://hdl.handle.net/10442/hedi/27109

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

16. Blancarte Hernandez, José. Modélisation prévisionnelle de la consommation énergétique dans l’industrie pour son intégration en tant que ressource effaçable à court terme : application au contexte français : Forecasting industrial energy consumptions for integration as short-term demand response resources : application to a French context.

Degree: Docteur es, Sciences et Génie de l'Environnement, 2015, Saint-Etienne, EMSE

L'effacement des consommations électriques a été identifié comme l'une des solutions pour pallier les problèmes liés aux pics de consommation électrique, à l’intermittence des énergies… (more)

Subjects/Keywords: Effacement électrique; Industrie; Prévision à court terme; Fiabilité de la prévision; Demand response; Industry; Short Term Load Forecasting; Forecasting confidence

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

APA (6th Edition):

Blancarte Hernandez, J. (2015). Modélisation prévisionnelle de la consommation énergétique dans l’industrie pour son intégration en tant que ressource effaçable à court terme : application au contexte français : Forecasting industrial energy consumptions for integration as short-term demand response resources : application to a French context. (Doctoral Dissertation). Saint-Etienne, EMSE. Retrieved from http://www.theses.fr/2015EMSE0783

Chicago Manual of Style (16th Edition):

Blancarte Hernandez, José. “Modélisation prévisionnelle de la consommation énergétique dans l’industrie pour son intégration en tant que ressource effaçable à court terme : application au contexte français : Forecasting industrial energy consumptions for integration as short-term demand response resources : application to a French context.” 2015. Doctoral Dissertation, Saint-Etienne, EMSE. Accessed May 21, 2019. http://www.theses.fr/2015EMSE0783.

MLA Handbook (7th Edition):

Blancarte Hernandez, José. “Modélisation prévisionnelle de la consommation énergétique dans l’industrie pour son intégration en tant que ressource effaçable à court terme : application au contexte français : Forecasting industrial energy consumptions for integration as short-term demand response resources : application to a French context.” 2015. Web. 21 May 2019.

Vancouver:

Blancarte Hernandez J. Modélisation prévisionnelle de la consommation énergétique dans l’industrie pour son intégration en tant que ressource effaçable à court terme : application au contexte français : Forecasting industrial energy consumptions for integration as short-term demand response resources : application to a French context. [Internet] [Doctoral dissertation]. Saint-Etienne, EMSE; 2015. [cited 2019 May 21]. Available from: http://www.theses.fr/2015EMSE0783.

Council of Science Editors:

Blancarte Hernandez J. Modélisation prévisionnelle de la consommation énergétique dans l’industrie pour son intégration en tant que ressource effaçable à court terme : application au contexte français : Forecasting industrial energy consumptions for integration as short-term demand response resources : application to a French context. [Doctoral Dissertation]. Saint-Etienne, EMSE; 2015. Available from: http://www.theses.fr/2015EMSE0783


Dalhousie University

17. CHAUDHRY, NIKHIL. A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS.

Degree: Master of Applied Science, Department of Electrical & Computer Engineering, 2011, Dalhousie University

 Two of the most significant challenges facing the world in the 21st century are improving energy security and mitigating the effects of climate change. To… (more)

Subjects/Keywords: Wind-Energy System; Variable Wind Output; Load Uncertainty; Probabilistic Simulation; Forecasting Reliability; Energy Security

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

APA (6th Edition):

CHAUDHRY, N. (2011). A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14352

Chicago Manual of Style (16th Edition):

CHAUDHRY, NIKHIL. “A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS.” 2011. Masters Thesis, Dalhousie University. Accessed May 21, 2019. http://hdl.handle.net/10222/14352.

MLA Handbook (7th Edition):

CHAUDHRY, NIKHIL. “A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS.” 2011. Web. 21 May 2019.

Vancouver:

CHAUDHRY N. A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS. [Internet] [Masters thesis]. Dalhousie University; 2011. [cited 2019 May 21]. Available from: http://hdl.handle.net/10222/14352.

Council of Science Editors:

CHAUDHRY N. A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS. [Masters Thesis]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/14352


Humboldt University of Berlin

18. Alavez Estevez, María de Lourdes. Statistical Analysis of Trading Volumes on the Energy Market using a Local Parametric Approach.

Degree: 2012, Humboldt University of Berlin

 International electricity trading in the European Union (EU) is the result of a liberalized energy market. Having access to inter-regional and international energy markets grants… (more)

Subjects/Keywords: Statistik; Wirtschaft; forecasting; trading volume; Multiplicative error model; local adaptive modeling; electricity load; ddc:330

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APA (6th Edition):

Alavez Estevez, M. d. L. (2012). Statistical Analysis of Trading Volumes on the Energy Market using a Local Parametric Approach. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=39678 ; http://edoc.hu-berlin.de/master/alavez-estevez-maria-de-lourdes-2012-08-31/PDF/alavez-estevez.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205297

Chicago Manual of Style (16th Edition):

Alavez Estevez, María de Lourdes. “Statistical Analysis of Trading Volumes on the Energy Market using a Local Parametric Approach.” 2012. Masters Thesis, Humboldt University of Berlin. Accessed May 21, 2019. http://edoc.hu-berlin.de/docviews/abstract.php?id=39678 ; http://edoc.hu-berlin.de/master/alavez-estevez-maria-de-lourdes-2012-08-31/PDF/alavez-estevez.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205297.

MLA Handbook (7th Edition):

Alavez Estevez, María de Lourdes. “Statistical Analysis of Trading Volumes on the Energy Market using a Local Parametric Approach.” 2012. Web. 21 May 2019.

Vancouver:

Alavez Estevez MdL. Statistical Analysis of Trading Volumes on the Energy Market using a Local Parametric Approach. [Internet] [Masters thesis]. Humboldt University of Berlin; 2012. [cited 2019 May 21]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=39678 ; http://edoc.hu-berlin.de/master/alavez-estevez-maria-de-lourdes-2012-08-31/PDF/alavez-estevez.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205297.

Council of Science Editors:

Alavez Estevez MdL. Statistical Analysis of Trading Volumes on the Energy Market using a Local Parametric Approach. [Masters Thesis]. Humboldt University of Berlin; 2012. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=39678 ; http://edoc.hu-berlin.de/master/alavez-estevez-maria-de-lourdes-2012-08-31/PDF/alavez-estevez.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100205297


NSYSU

19. Tung, Tao-Ting. Power System Short-term Load Forecast.

Degree: Master, Electrical Engineering, 2017, NSYSU

 Accurate Short-Term Load Forecast (STLF) is important in the security constrained unit commitment and economic dispatch to achieve reliable, stable and efficient power system operations.… (more)

Subjects/Keywords: user interface; apparent temperature; semiparametric additive model; neural networks; short-term load forecasting

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APA (6th Edition):

Tung, T. (2017). Power System Short-term Load Forecast. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808117-144320

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):

Tung, Tao-Ting. “Power System Short-term Load Forecast.” 2017. Thesis, NSYSU. Accessed May 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808117-144320.

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

MLA Handbook (7th Edition):

Tung, Tao-Ting. “Power System Short-term Load Forecast.” 2017. Web. 21 May 2019.

Vancouver:

Tung T. Power System Short-term Load Forecast. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 May 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808117-144320.

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

Council of Science Editors:

Tung T. Power System Short-term Load Forecast. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808117-144320

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

20. Provatas, Spyridon. An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems.

Degree: 2014, , Department of Computer Science and Engineering

  Context. Heat load forecasting is an important part of district heating optimization. In particular, energy companies aim at minimizing peak boiler usage, optimizing combined… (more)

Subjects/Keywords: District Heating; Heat Load Forecasting; Machine Learning; Incremental/Online Learning; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Provatas, S. (2014). An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems. (Thesis). , Department of Computer Science and Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3475

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):

Provatas, Spyridon. “An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems.” 2014. Thesis, , Department of Computer Science and Engineering. Accessed May 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3475.

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

MLA Handbook (7th Edition):

Provatas, Spyridon. “An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems.” 2014. Web. 21 May 2019.

Vancouver:

Provatas S. An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems. [Internet] [Thesis]. , Department of Computer Science and Engineering; 2014. [cited 2019 May 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3475.

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

Council of Science Editors:

Provatas S. An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems. [Thesis]. , Department of Computer Science and Engineering; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3475

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


NSYSU

21. Ku, Te-Tien. Application of ARIMA and ANN for Load Forecasting of Distribution Systems.

Degree: Master, Electrical Engineering, 2006, NSYSU

 The objective of this thesis is to study the load forecasting of distribution feeders and substations for Fong-Shan District of Taiwan Power Company. To increase… (more)

Subjects/Keywords: Temperature Sensitivity; PNN; ARIMA; Load forecasting

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

APA (6th Edition):

Ku, T. (2006). Application of ARIMA and ANN for Load Forecasting of Distribution Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705106-230958

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):

Ku, Te-Tien. “Application of ARIMA and ANN for Load Forecasting of Distribution Systems.” 2006. Thesis, NSYSU. Accessed May 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705106-230958.

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

MLA Handbook (7th Edition):

Ku, Te-Tien. “Application of ARIMA and ANN for Load Forecasting of Distribution Systems.” 2006. Web. 21 May 2019.

Vancouver:

Ku T. Application of ARIMA and ANN for Load Forecasting of Distribution Systems. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 May 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705106-230958.

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

Council of Science Editors:

Ku T. Application of ARIMA and ANN for Load Forecasting of Distribution Systems. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705106-230958

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


University of Newcastle

22. Zhang, Rui. Advanced methods for power system security operations.

Degree: PhD, 2014, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The fundamental role of an electrical power system is to deliver the requested electricity to customers in a… (more)

Subjects/Keywords: electric power system; power system security; power system stability; load forecasting; optimal power flow

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APA (6th Edition):

Zhang, R. (2014). Advanced methods for power system security operations. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1048178

Chicago Manual of Style (16th Edition):

Zhang, Rui. “Advanced methods for power system security operations.” 2014. Doctoral Dissertation, University of Newcastle. Accessed May 21, 2019. http://hdl.handle.net/1959.13/1048178.

MLA Handbook (7th Edition):

Zhang, Rui. “Advanced methods for power system security operations.” 2014. Web. 21 May 2019.

Vancouver:

Zhang R. Advanced methods for power system security operations. [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2019 May 21]. Available from: http://hdl.handle.net/1959.13/1048178.

Council of Science Editors:

Zhang R. Advanced methods for power system security operations. [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1048178


University of Sydney

23. Rana, Md Mashud. Energy time series prediction .

Degree: 2014, University of Sydney

 Reliable operations and economical utilization of power systems require electricity load forecasting at a wide range of forecasting horizons. The objective of this thesis is… (more)

Subjects/Keywords: Time series; Electricity load; Forecasting; Uncertainty; Feature selection; Wavelet transform; Neural networks

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

APA (6th Edition):

Rana, M. M. (2014). Energy time series prediction . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/11745

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):

Rana, Md Mashud. “Energy time series prediction .” 2014. Thesis, University of Sydney. Accessed May 21, 2019. http://hdl.handle.net/2123/11745.

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

MLA Handbook (7th Edition):

Rana, Md Mashud. “Energy time series prediction .” 2014. Web. 21 May 2019.

Vancouver:

Rana MM. Energy time series prediction . [Internet] [Thesis]. University of Sydney; 2014. [cited 2019 May 21]. Available from: http://hdl.handle.net/2123/11745.

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

Council of Science Editors:

Rana MM. Energy time series prediction . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/11745

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


Drexel University

24. Berardino, Jonathan. Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management.

Degree: 2016, Drexel University

In recent years there has been a push in the electric power industry for more customer involvement in the electricity markets. Traditionally the end user… (more)

Subjects/Keywords: Electrical engineering; Demand-side management (Electric utilities) – Planning; Electric power-plants – Load – Forecasting

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APA (6th Edition):

Berardino, J. (2016). Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7274

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):

Berardino, Jonathan. “Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management.” 2016. Thesis, Drexel University. Accessed May 21, 2019. http://hdl.handle.net/1860/idea:7274.

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

MLA Handbook (7th Edition):

Berardino, Jonathan. “Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management.” 2016. Web. 21 May 2019.

Vancouver:

Berardino J. Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management. [Internet] [Thesis]. Drexel University; 2016. [cited 2019 May 21]. Available from: http://hdl.handle.net/1860/idea:7274.

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

Council of Science Editors:

Berardino J. Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:7274

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


KTH

25. Alam, Samiul. Recurrent neural networks in electricity load forecasting.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

In this thesis two main studies are conducted to compare the predictive capabilities of feed-forward neural networks (FFNN) and long short-term memory networks (LSTM)… (more)

Subjects/Keywords: Recurrent neural networks electricity load forecasting lstm renewable energy; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Alam, S. (2018). Recurrent neural networks in electricity load forecasting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233254

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):

Alam, Samiul. “Recurrent neural networks in electricity load forecasting.” 2018. Thesis, KTH. Accessed May 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233254.

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

MLA Handbook (7th Edition):

Alam, Samiul. “Recurrent neural networks in electricity load forecasting.” 2018. Web. 21 May 2019.

Vancouver:

Alam S. Recurrent neural networks in electricity load forecasting. [Internet] [Thesis]. KTH; 2018. [cited 2019 May 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233254.

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

Council of Science Editors:

Alam S. Recurrent neural networks in electricity load forecasting. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233254

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


University of California – San Diego

26. Kim, Juntae. Short-term Electric Load Prediction using Multiple Linear Regression Method.

Degree: Electrical Engineering (Communication Theory and Systems), 2018, University of California – San Diego

 This paper provides some new techniques to predict the electric load using Multiple Linear Regression (MLR) model, which adopts a statistical approach assuming that the… (more)

Subjects/Keywords: Electrical engineering; Electric load forecasting; k-means clustering; Multiple linear regression; Weighted least squares

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

APA (6th Edition):

Kim, J. (2018). Short-term Electric Load Prediction using Multiple Linear Regression Method. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/71w594zq

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):

Kim, Juntae. “Short-term Electric Load Prediction using Multiple Linear Regression Method.” 2018. Thesis, University of California – San Diego. Accessed May 21, 2019. http://www.escholarship.org/uc/item/71w594zq.

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

MLA Handbook (7th Edition):

Kim, Juntae. “Short-term Electric Load Prediction using Multiple Linear Regression Method.” 2018. Web. 21 May 2019.

Vancouver:

Kim J. Short-term Electric Load Prediction using Multiple Linear Regression Method. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 May 21]. Available from: http://www.escholarship.org/uc/item/71w594zq.

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

Council of Science Editors:

Kim J. Short-term Electric Load Prediction using Multiple Linear Regression Method. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/71w594zq

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


University of Johannesburg

27. Manuel, Grant. Short term load forecasting by means of neural networks and programmable logic devices for new high electrical energy users.

Degree: 2014, University of Johannesburg

D.Phil. (Electrical and Electronic Engineering)

Load forecasting is a necessary and an important task for both the electrical consumer and electrical supplier. Whilst many studies… (more)

Subjects/Keywords: Electric power-plants - Load - Forecasting - Data processing; Neural networks (Computer science); Programmable logic devices

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

APA (6th Edition):

Manuel, G. (2014). Short term load forecasting by means of neural networks and programmable logic devices for new high electrical energy users. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/10055

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):

Manuel, Grant. “Short term load forecasting by means of neural networks and programmable logic devices for new high electrical energy users.” 2014. Thesis, University of Johannesburg. Accessed May 21, 2019. http://hdl.handle.net/10210/10055.

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

MLA Handbook (7th Edition):

Manuel, Grant. “Short term load forecasting by means of neural networks and programmable logic devices for new high electrical energy users.” 2014. Web. 21 May 2019.

Vancouver:

Manuel G. Short term load forecasting by means of neural networks and programmable logic devices for new high electrical energy users. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 May 21]. Available from: http://hdl.handle.net/10210/10055.

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

Council of Science Editors:

Manuel G. Short term load forecasting by means of neural networks and programmable logic devices for new high electrical energy users. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/10055

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


University of Oxford

28. Arora, Siddharth. Time series forecasting with applications in macroeconomics and energy.

Degree: PhD, 2013, University of Oxford

 The aim of this study is to develop novel forecasting methodologies. The applications of our proposed models lie in two different areas: macroeconomics and energy.… (more)

Subjects/Keywords: Forecasting; Nonlinear and nonparametric methodologies; Time series analysis; Energy modelling; Short-term load forecasting; Rule-based forecasting; Conditional kernel density estimation; Probabilistic modelling

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

APA (6th Edition):

Arora, S. (2013). Time series forecasting with applications in macroeconomics and energy. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:c763b735-e4fa-4466-9c1f-c3f6daf04a67 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748639

Chicago Manual of Style (16th Edition):

Arora, Siddharth. “Time series forecasting with applications in macroeconomics and energy.” 2013. Doctoral Dissertation, University of Oxford. Accessed May 21, 2019. http://ora.ox.ac.uk/objects/uuid:c763b735-e4fa-4466-9c1f-c3f6daf04a67 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748639.

MLA Handbook (7th Edition):

Arora, Siddharth. “Time series forecasting with applications in macroeconomics and energy.” 2013. Web. 21 May 2019.

Vancouver:

Arora S. Time series forecasting with applications in macroeconomics and energy. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2019 May 21]. Available from: http://ora.ox.ac.uk/objects/uuid:c763b735-e4fa-4466-9c1f-c3f6daf04a67 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748639.

Council of Science Editors:

Arora S. Time series forecasting with applications in macroeconomics and energy. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:c763b735-e4fa-4466-9c1f-c3f6daf04a67 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748639

29. Zheng, Jixuan. Short-term Load Forecasting Using Neural Network For Future Smart Grid Application.

Degree: MS, Electrical Engineering, 2014, U of Denver

  Short-term load forecasting of power system has been a classic problem for a long time. Not merely it has been researched extensively and intensively,… (more)

Subjects/Keywords: Different Countries Polices and Current Statuses; Latest Products; Neural Network; Short-term Load Forecasting; Smart Grid; Smart Meter

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

APA (6th Edition):

Zheng, J. (2014). Short-term Load Forecasting Using Neural Network For Future Smart Grid Application. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/735

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):

Zheng, Jixuan. “Short-term Load Forecasting Using Neural Network For Future Smart Grid Application.” 2014. Thesis, U of Denver. Accessed May 21, 2019. https://digitalcommons.du.edu/etd/735.

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

MLA Handbook (7th Edition):

Zheng, Jixuan. “Short-term Load Forecasting Using Neural Network For Future Smart Grid Application.” 2014. Web. 21 May 2019.

Vancouver:

Zheng J. Short-term Load Forecasting Using Neural Network For Future Smart Grid Application. [Internet] [Thesis]. U of Denver; 2014. [cited 2019 May 21]. Available from: https://digitalcommons.du.edu/etd/735.

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

Council of Science Editors:

Zheng J. Short-term Load Forecasting Using Neural Network For Future Smart Grid Application. [Thesis]. U of Denver; 2014. Available from: https://digitalcommons.du.edu/etd/735

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

30. Andrade, Luciano Carli Moreira de. Abordagem neurofuzzy para previsão de demanda de energia elétrica no curtíssimo prazo.

Degree: Mestrado, Sistemas Dinâmicos, 2010, University of São Paulo

Uma vez que sistemas de inferência neuro-fuzzy adaptativos são aproximadores universais que podem ser usados em aplicações de aproximação de funções e de previsão, este… (more)

Subjects/Keywords: Demanda de eletricidade; Load demand; Neuro-fuzzy system; Previsão de curtíssimo prazo; Sistemas neuro-fuzzy; Very short-term forecasting

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

APA (6th Edition):

Andrade, L. C. M. d. (2010). Abordagem neurofuzzy para previsão de demanda de energia elétrica no curtíssimo prazo. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15092010-102430/ ;

Chicago Manual of Style (16th Edition):

Andrade, Luciano Carli Moreira de. “Abordagem neurofuzzy para previsão de demanda de energia elétrica no curtíssimo prazo.” 2010. Masters Thesis, University of São Paulo. Accessed May 21, 2019. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15092010-102430/ ;.

MLA Handbook (7th Edition):

Andrade, Luciano Carli Moreira de. “Abordagem neurofuzzy para previsão de demanda de energia elétrica no curtíssimo prazo.” 2010. Web. 21 May 2019.

Vancouver:

Andrade LCMd. Abordagem neurofuzzy para previsão de demanda de energia elétrica no curtíssimo prazo. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2019 May 21]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15092010-102430/ ;.

Council of Science Editors:

Andrade LCMd. Abordagem neurofuzzy para previsão de demanda de energia elétrica no curtíssimo prazo. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15092010-102430/ ;

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