Market clearing price predictor based on modular networks

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 22, Issue 8, 2002, Pages 44-48

  Yang, Li ^a   Huang, Min Xiang ^a   Qiu, Jia Ju ^a   Jiang, Dao Zhuo ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Clustering segmentation; Fuzzy C means algorithm (FCM); Market Clearing Price (MCP); Modular network; Power market; Price forecasting

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COSTS; FORECASTING;

CLUSTERING SEGMENTATION; FUZZY C MEANS ALGORITHMS; MARKET CLEARING PRICE; MODULAR NETWORK; POWER MARKET; PRICE FORECASTING;

ELECTRIC POWER SYSTEMS;

EID: 0036699815     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Tsibouris, G.; Zeidenberg, M. Back propagation as a test of the efficient markets hypothesis [C]. Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences, 1992 (4): 523-532.
2. Khotanzad, A.; Afkhami-Rohani, R.; Maratukulam, D. ANNSTLF-artificial neural network short-term load forecaster-generation three [J]. IEEE Transactions on Power Systems, 1998, 13 (11): 1413-1422.
3. Slobodan Vucetic, Kevin Tomsovic, Zoran Obradovic. Discovering price-load relationships in California's electricity market [J]. IEEE Trans. on Power Systems, 2001, 16 (2): 280-286.
4. A.S. Weigend, M. Mangeas, A.N. Srivastava. Nonlinear gated experts of time series: Discovering regimes and avoiding overfitting [J]. Int. Journal of Neural Systems, 1995 (6): 373-399.
5. J.S.R. Jang, C.T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing [M]. Xi'an: Xi'an Jiaotong University Press, 2000.
6. Yang Li, Qiu Jiaju, Jiang Daozhou, A BPN based day-ahead UMCP forecasting model [J]. Automation of Electric Power Systems, 2001, 25 (19): 11-14.
7. Sheng Zhou, Xie Shiqian, Pan Chengyi, Probability and statistics [M], Beijing: Advanced Education Press, 1989.
8. www.ucei.berkeley.edu/ucei/datamine/datamine.htm.