A short-term combination wind speed forecasting method considering seasonal periodicity and time-continuity

Dianli Xitong Zidonghua/Automation of Electric Power Systems

Volumn 34, Issue 15, 2010, Pages 75-79

  Jiang, Xiaoliang ^a   Jiang, Chuanwen ^a   Peng, Minghong ^a   Lin, Haitao ^a   Li, Zilin ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Shanghai Power Equipment Co Ltd   (China)

Author keywords

Back propagation (BP) neural network; Pattern recognition; Seasonal periodicity; Time continuity; Wind forecasting

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BP NEURAL NETWORKS; COMBINATION FORECASTING; PATTERN RECOGNITION TECHNIQUES; POWER CURVES; SEASONAL PERIODICITY; SHORT-TERM WIND SPEED FORECASTING; TIME-CONTINUITY; VERTICAL WIND; WIND ENERGY; WIND FARM; WIND SPEED; WIND SPEED FORECASTING;

BACKPROPAGATION; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; NEURAL NETWORKS; PATTERN RECOGNITION; SPEED; WEATHER FORECASTING; WIND EFFECTS;

WIND POWER;

EID: 77955992608     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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