Short-time load forecasting using neural network based on competitive learning classification

Power System Technology

Volumn 28, Issue 10, 2004, Pages 45-48

  Yao, Li Xiao ^a   Yao, Jin Xiong ^a   Li, Bao Qing ^b   Wan, Shi Xin ^c  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b Shaanxi Electric Power Company   (China)

^c Beijing Intl System Control Company   (China)

Author keywords

Competitive learning; Neural network; Power system; Short time load forecasting

Indexed keywords

ALGORITHMS; BACKPROPAGATION; ELECTRIC LOAD FORECASTING; LEARNING SYSTEMS; NEURAL NETWORKS;

COMPETITIVE LEARNING; SHORT TIME LOAD FORECASTING;

ELECTRIC POWER SYSTEMS;

EID: 3142678220     PISSN: 10003673     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

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2. Hagan M T, Demuth H B, Beale M H. Neural network design [M]. Beijing: China Machine Press, 2002.
3. (Wang Feng, Yu Erbeng, Yan Chengshan et al). (Study of short-term load forecasting based on influencing factors) [J]. (Proceedings of the CSEE), 1999, 19(8): 54-58.
4. (Liang Haifeng, Tu Guangyu, Tang Hongwe). (Application of genetic algorithm neural network for short-term load forecasting of power)[J]. (Power System Technology), 2001, 25(1): 49-53.