A review of short-term electricity price forecasting techniques in deregulated electricity markets

Proceedings of the Universities Power Engineering Conference

Volumn , Issue , 2009, Pages

  Hu, Linlin ^a   Taylor, Gareth ^a   Wan, Hai Bin ^a   Irving, Malcolm ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

ANN; ARIMA; Forecasting techniques; Hybrid models; LSSVM; Short term electricity price

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODELS; DEREGULATED ELECTRICITY MARKET; ELECTRICITY PRICE FORECASTING; ELECTRICITY PRICES; FORECASTING TECHNIQUES; FUTURE TRENDS; HYBRID METHOD; HYBRID MODEL; INDIVIDUAL MODELS; INFLUENCING FACTOR; LEAST SQUARE SUPPORT VECTOR MACHINES; MARKET PARTICIPANTS; POWER MARKETS; PRICE FORECASTING; SHORT TERM;

COMMERCE; COSTS; DEREGULATION; ELECTRICITY; NEURAL NETWORKS; PROFITABILITY; SUPPORT VECTOR MACHINES; TECHNOLOGICAL FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 77951718084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (52)

1. Linlin Hu, Gareth Taylor and Malcolm Irving, "A Fuzzy-logic Based Bidding Strategy for Participants in the UK Electricity Market," 43rd International Universities Power Engineering Conference, 2008.
2. Linlin Hu, "Optimal Bidding Strategy for Power Producers in the UK Electricity Market," MPhil Thesis, School of Engineering and Design, Brunei University, November 2006.
3. Hamed Valizadeh Haghi, and S. M. Moghaddas Tafreshi, "An Overview and Verification of Electricity Price Forecasting Models," International Power Engineering Conference (IPEC) 2007.
4. Xian Zhang, and Xifan Wang, "Overview on Short-term Electricity Price Forecasting," Automation of Electric Power Systems, Vo1.30, No.3. Feb.10, 2006.
5. Byounghee Kim, John P. Velas, Jeongkyu Lee, Jongbae Park, Joongrin Shin, and Kwang Y. Lee, "Short-Term System Marginal Price Forecasting Using System-Type Neural Network Architecture," Power Systems Conference and Exposition, 2006.
6. H.Y.Yamin, S.M.Shahidehpour, and Z.Li "Adaptive Short-term Electricity Price Forecasting Using Artificial Neural Networks in the Restructured Power Markets," Electrical Power and Energy Systems, PP571-581.
7. T. Niimura, "Forecasting Techniques for Deregulated Electricity Market Prices," IEEE Power Engineering Society General Meeting, 2006.
8. Carolian Garcia-Martos, Julio Rodriguez, and Maria Jesus Sanchez, "Mixed Models for Short-Run Forecasting of Electricity Prices: Application for the Spanish Market," IEEE Transaction on Power Systems, Vo1.22, No.2, May 2007.
9. S. Haykin, Neural Networks: A Comprehensive Foundation, New Jersey: Prentice-Hall, 1999.
10. J.P.S. Catalao, S.J.P.S. Mariano, V.M.F. Mendes and L.A.F.M. Ferreira, "Application of Neural Networks on Next-Day Electricity Prices Forecasting," Universities Power Engineering Conference, 2006.
11. J. P. S. Catalão, S. J. P. S. Mariano, V. M. F. Mendes, and L. A. F. M. Ferreira, "An Artificial Neural Network Approach for Short-Term Electricity Prices Forecasting," International Conference on Intelligent Systems Applications to Power Systems, 2007.
12. Paras Mandai, Tomonobu Senjyu, Naomitsu Urasaki, Toshihisa Funabashi, and Anurag K. Srivastava, "A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method," IEEE Transactions on Power Systems, Vol.22, No.4, November 2007.
13. Nima Amjady, and Ali Daraeepour, "Day-ahead Electricity Price Forecasting Using the Relief Algorithm and Neural Networks," 5th International Conference on European Electricity Market, 2008.
14. Paras Mandai, Tomonobu Senjyu, Katsumi Uezato, and Toshihisa Funabashi, "Several-Hours-Ahead Electricity Price and Load Forecasting Using Neural Networks," Power Engineering Society General Meeting, 2005.
15. Dipti Srinivasan, Fen Chao Yong and Ah Choy Liew, "Electricity Price Forecasting Using Evolved Neural Networks," International Conference on Intelligent Systems Applications to Power Systems, 2007.
16. H. Mori, and A. Awata, "A Hybrid Method of Clipping and Artificial Neural Network for Electricity Price Zone Forecasting" 9th International Conference on Probabilistic Methods Applied to Power Systems KTH, June 11-15,2006.
17. Filipe Azevedo, and Zita A. Vale, "Forecasting Electricity Prices with Historical Statistical Information using Neural Networks and Clustering Techniques," Power Systems Conference and Exposition, 2006.
18. Zhang Xian, Wang Xi-Fan, Chen Fang-Hua, Ye Bin, and Chen Hao-Yong, "Short-Term Electricity Price Forecasting Based On Period-Decoupled Price Sequence," Proceedings of the CSEE, Vo1.25, No.15, Aug. 2005.
19. Gao Feng, Guan Xiaohong, Cao Xiren, Sun Jie, and Huang Yong, "Forecasting Power Market Clearing Price Using Neural Networks," Proceedings of the 3rd World Congress on Intelligent Control and Automation, June 28-July 2, 2000.
20. M. Ranjbar, S. Soleymani, N. Sadati, and A. M. Ranjbar, "Electricity Price Forecasting Using Artificial Neural Network," International Conference on Power Electronics, Drives and Energy Systems, 2006.
21. Paras Mandai, Tomonobu Senjyu, Naomitsu Urasaki, Toshihisa Funabashi, and Anurag K. Srivastava, "Short-Term Price Forecasting for Competitive Electricity Market," 38th North American Power Symposium, 2006.
22. M. Zhou, Z. Yan, Y.X. Ni, G. Li and Y. Nie, "Electricity Price Forecasting with Confidence-interval Estimation through an Extended ARIMA Approach," lEE Proc.-Gener. Tansm. Distrib.,Vol. 153, No.2, March 2006.
23. Antonio J. Conejo, Miguel A. Plazas, Rosa Espinola, and Ana B. Molina, "Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models," IEEE Transactions on Power Systems, Vo1.20, No.2, May 2005.
24. Javier Contreras, Rosario Espinola, Francisco J. Nogales, and Antonio J. Conejo, "ARIMA Models to Predict Next-Day Electricity Prices," IEEE Transactions on Power Systems, Vol.18, No.3, August 2003.
25. Ming Zhou, Zheng Yan, Yixin Ni, and Gengyin Li, "An ARIMA Approach to Forecasting Electricity Price with Accuracy improvement by Predicted Errors," IEEE Power Engineering Society General Meeting, 2004.
26. Reinaldo C. Garcia, Javier Contreras, Marco van Akkeren, and Joao Batista C. Garcia, "A GARCH Forecasting Model to Predict Day-Ahead Electricity Prices" IEEE Transactions on Power Systems, Vo1.20, No.2, May 2005.
27. Zeng Ming, Shi Lianjun, Tian Kuo, and Zheng Lin, "Time-sharing Based ARMA-GARCH Hourly Electricity Price Forecasting Approach," The 2008 International Conference on Risk Management &Engineering Management.
28. Zheng Hua, Xie Li, and Zhang Li-zi, "Electricity Price Forecasting Based on GARCH Model in Deregulated Market," The 7th International Power Engineering Conference, 2005.
29. Wei Sun, and Jie Zhang, "Forecasting Day ahead Spot Electricity Prices Based on GASVM," 2008 International Conference on Internet Computing in Science and Engineering.
30. Emre Comak, Kemal Polat, Salih Gunes, and Ahmet Arslan, "A New Medical Decision Making System: Least Square Support Vector Machine (LSSVM) with Fuzzy Weighting Preprocessing," Science Direct, Expert Systems with Applications 32 (2007) 409-414.
31. M. J. Mahjoob, M. Abdollahzade, and R. Zarringhalam, "GA based Optimized LS-SVM Forecasting of Short Term Electricity Price in Competitive Power Markets," 3rd IEEE Conference on Industrial Electronics and Applications, 2008.
32. Wei Sun, Jian-chang Lu, and Ming Meng, "Application of Time Series Based SVM Model on Next-Day Electricity Price Forecasting under Deregulated Power Market," Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006.
33. Jun Hua Zhao, Zhao Yang Dong, Xue Li, and Kit Po Wong, "A Framework for Electricity Price Spike Analysis with Advanced Data Mining Methods," IEEE Transactions on Power Systems, Vol.22, No.1, February 2007.
34. Jun Hua Zhao, Zhao Yang Dong, Zhao Xu, and Kit Po Wong, "A Statistical Approach for Interval Forecasting of the Electricity Price," IEEE Transactions on Power Systems, Vol.23, No.2, May 2008.
35. Chun-Hao Chen, Tzung-Pei Hong, and Vincent S. Tseng, "Analyzing Time-Series Data by Fuzzy Data-Mining Technique," IEEE International Conference on Granular Computing, 2005.
36. Guang Li, Chen-Ching Liu, Chris Mattson, and Jacques Lawarree, "Day-Ahead Electricity Price Forecasting in a Grid Environment," IEEE Transactions on Power Systems, Vol.22, No.1, February 2007.
37. Mohammad Kazem Sheikh-EI-Eslami, and Hossein Seifi, "Short-Term Electricity Price Forecasting using a Fuzzy Stochastic Predictor," IEEE Power Engineering Society General Meeting, 2006.
38. th International Power Engineering Conference, 2005.
39. Herui Cui, and Xiuli Song, "Research on Electricity Price Forecasting Based on Chaos Theory," International Seminar on Future Information Technology and Management Engineering, Page(s):398-401,20 Nov. 2008.
40. Baoyi Wang, Shaomin Zhang, Qiaoli Xue, and Peng Shen, "Prediction of Power System Marginal Price Based on Chaos Characteristics," IEEE International Conference on Industrial Technology, 2008.
41. Paras Mandai, Tomonobu Senjyu, Atsushi Yona, Jung-Wook Park, and Anurag K. Srivastava, "Sensitivity Analysis of Similar Days Parameters for Predicting Short-Term Electricity Price," 39th North American Power Symposium, 2007.
42. Paras Mandala, Anurag K. Srivastavab, Michael Negnevitskya, and Jung-Wook Parke, "An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting," IEEE Industry Applications Society Annual Meeting, Page(s):1-9, 59 Oct. 2008.
43. Alicia Mateo González, Antonio Muñoz San Roque, and Javier García-González, "Modeling and Forecasting Electricity Prices with Input/Output Hidden Markov Models, " IEEE Transactions on Power Systems, Vol.20, No.1, February 2005.
44. Shu Fan, James R. Liao, Kazuhiro Kaneko, and Luonan Chen, "An Integrated Machine Learning Model for Day-Ahead Electricity Price Forecasting," Power Systems Conference and Exposition, Page(s):1643-1649, Oct. 29 -Nov. 1 2006.
45. Carolina Garcia-Martos, Julio Rodriguez, and María Jesús Sánchez, "Mixed Models for Short-Run Forecasting of Electricity Prices: Application for the Spanish Market," IEEE Transactions on Power Systems, Vol.22, No.2, May 2007.
46. Hamidreza Zareipour, Claudio A. Cañizares, Kankar Bhattacharya, and John Thomson, "Application of Public-Domain Market Information to Forecast Ontario's Wholesale Electricity Prices," IEEE Transactions on Power Systems, Vol.21, No.4, November 2006.
47. S. Fan, C. Mao, and L. Chen, "Next-Day Electricity-Price Forecasting Using a Hybrid Network," lET Gener. Transm. Distrib., Vol.1, No.1, January 2007.
48. Hiroyuki Mori, and Akira Awata, "Normalized RBFN with Hierarchical Deterministic Annealing Clustering for Electricity Price Forecasting," IEEE Power Engineering Society General Meeting, 2007.
49. JunHua Zhao, Zhao Yang Dong, and Xue Li, "Electricity Price Forecasting with Effective Feature Preprocessing," IEEE Power Engineering Society General Meeting, 2006.
50. He Zhengyou, Qian Qingquan, and Wang Zhibing, "Wavelet Analysis and Electric Power Market E-Commerce," Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies, Page(s):725-729, 27-29 Aug. 2003.
51. Haiteng Xu, and Tak Niimura, "Short-Term Electricity Price Modeling and Forecasting Using Wavelets and Multivariate Time Series," Power Systems Conference and Exposition, 2004.
52. Zhao Jun-ke, Li Yu-xia, Qin Mei-jing, Yao Peng, Wang Liang, and Wang Wei, "Research on the Method of Error Analysis in the Prediction of SMP," Journal of Xi'an University of Technology, Vol.22 No.2, 2006.