Method to select similar days for short-term load forecasting

Qinghua Daxue Xuebao/Journal of Tsinghua University

Volumn 44, Issue 1, 2004, Pages 106-109

  Mo, Weiren ^a   Zhang, Boming ^a   Sun, Hongbin ^a   Hu, Ziheng ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Electricity marketing; Integrated model; Load forecasting; Power system scheme; Similar days

Indexed keywords

ECONOMICS; NUMERICAL METHODS;

ELECTRICITY MARKETING; INTEGRATED MODEL; NUMERICAL TESTS; POWER SYSTEM SCHEME; SIMILAR DAYS;

ELECTRIC LOAD FORECASTING;

EID: 2342653596     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

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3. KANG Chongqing, CHENG Xu, XIA Qing, et al, A new unified approach to short-term load forecasting considering correlated factors [J]. Journal of Electric Power System and Its Automation, 1999, 23(18): 32-35. (in Chinese)
4. Kim K H, Youn H S, Kang Y C. Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method [J]. IEEE Trans on Power Systems, 2000, 15(2): 559-565.
5. MO Weiren, ZHANG Homing, SUN Hongbing, et al. Extended short term load forecasting - Concept, method and realization [J]. Proceedings of the CSEE, 2003, 7(22): 1-4. (in Chinese)
6. CHEN Baolin. Optimized Methods [M]. Beijing: Tsinghua Univ Press, 1989. (in Chinese)