Short-term marginal price forecasting with hybrid model

Dianli Xitong Zidonghue/Automation of Electric Power Systems

Volumn 26, Issue 21, 2003, Pages 29-33

  Li, Caihua ^a   Guo, Zhizhong ^a   Wang, Zhiwei ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Xuji Group Co   (China)

Author keywords

BP neural network; Dynamic clustering; Power market; Short term marginal price

Indexed keywords

BACKPROPAGATION; COSTS; FORECASTING; NEURAL NETWORKS; PATTERN RECOGNITION;

DYNAMIC CLUSTERING; ELECTRICITY MARKET; SHOT TERM MARGINAL PRICE;

ELECTRIC POWER SYSTEMS;

EID: 0037431604     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Siddiqi R. Kader Ab. POWERCOACH - An Electricity Trading Advisor. IEEE Computer Applications in Power, 1994, 7 (3): 41-46
2. Wang A, Ramsay B. Prediction of System Marginal Price in the UK Power Pool Using Neural Networks. In: International Conference on Neural Networks. Houston (USA): 1997. 2116-2120
3. Yang Li, Qiu Jiaju, Jiang Daozhou. BPN Based Day-ahead Unconstrained Market Clearing Price Forecasting Model. Automation of Electric Power Systems, 2001, 25 (19): 11-14, 33
4. Szkuta B R, Sanabria L A, Dillion T S. Electricity Price Short-term Forecasting Using Artificial Neutral Networks. IEEE Trans on Power Systems, 1999, 14 (3): 2116-2120
5. Leao de M T P, Saraiva J T A. Simulated Annealing Approach to Evaluate Long Term Marginal Costs and Investment Decisions. In: IEEE Power Engineering Society Summer Meeting. Alberta (Canada): 2000. 2284-2289
6. Kim K H, Park J K, Hwang K J, et al. Implementation of Hybrid Short-term Load Forecasting Systems. IEEE Trans on Power Systems, 1995, 10 (3): 1534-1539
7. Atiya A, Talaat N, Shaheen S. An Efficient Stock Market Forecasting Model Using Neural Network. In: International Conference on Neural Networks. Houston (USA): 1997. 2112-2115
8. Bian Zhaoqi, Zhang Xuegong. Pattern Recognition. Beijing: Tsinghua University Press, 2000