Adaptive training approaches considering impact factors in short-term load forecasting

Dianli Xitong Zidonghue/Automation of Electric Power Systems

Volumn 26, Issue 18, 2002, Pages 6-10

  Gao, Feng ^a   Kang, Chongqing ^a   Cheng, Xu ^a   Shen, Yu ^a   Xia, Qing ^a   Peng, Tao ^a   Zhou, Anshi ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Genetic algorithm; Integrated model; Load relative factors; Perturbation algorithm; Short term load forecasting (STLF); Virtual forecasting

Indexed keywords

ADAPTIVE SYSTEMS; GENETIC ALGORITHMS; NEURAL NETWORKS; PERTURBATION TECHNIQUES;

INTEGRATED MODEL; LOAD RELATIVE FACTORS; PERTURBATION ALGORITHMS; SHORT TERM LOAD FORECASTING; VIRTUAL FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 0037174574     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Kang Chongqing, Cheng Xu, Xia Qing, et al. A New Unified Approach to Short-term Load Forecasting Considering Correlated Factors, Automation of Electric Power Systems, 1999, 23 (18): 32-35
2. Cheng Xu, Kang Chongqing, Xia Qing, et al. Integrated Model of Short-term Load Forecasting. Automation of Electric Power Systems, 2000, 24 (9): 42-44
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5. Cheng Xu. Researches of Adaptive Short-term Load Forecasting Theories Based on Pattern Recognition, Thesis, Beijing: Tsinghua University, 2000
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7. Deng Julong, Gray Prediction and Decision. Wuhan: Huazhong Institute of Technology Press, 1986