A novel bidirectional mechanism based on time series model for wind power forecasting

Applied Energy

Volumn 177, Issue , 2016, Pages 793-803

  Zhao, Yongning ^a   Ye, Lin ^a   Li, Zhi ^a   Song, Xuri ^b   Lang, Yansheng ^b   Su, Jian ^b  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

Author keywords

Extreme learning machine; Optimization algorithm; Wind farm; Wind power forecasting

Indexed keywords

ALGORITHMS; ELECTRIC UTILITIES; FORECASTING; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; OPTIMIZATION; TIME SERIES; WIND POWER;

EXTREME LEARNING MACHINE; FORECAST IMPROVEMENTS; FORWARD-AND-BACKWARD; OPTIMIZATION ALGORITHMS; SHORT-TERM FORECASTING; TIME SERIES FORECASTING; WIND FARM; WIND POWER FORECASTING;

WEATHER FORECASTING;

ALGORITHM; ERROR ANALYSIS; FORECASTING METHOD; MACHINE LEARNING; OPTIMIZATION; PERFORMANCE ASSESSMENT; TIME SERIES; WIND FARM; WIND POWER;

EID: 84973457857     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.03.096     Document Type: Article

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