Short-term wind speed or power forecasting with heteroscedastic support vector regression

IEEE Transactions on Sustainable Energy

Volumn 7, Issue 1, 2016, Pages 241-249

  Hu, Qinghua ^a   Zhang, Shiguang ^a,b   Yu, Man ^a   Xie, Zongxia ^a  

^a TIANJIN UNIVERSITY   (China)

^b HENGSHUI UNIVERSITY   (China)

Author keywords

Gaussian noise (GN); Heteroscedasticity; Support vector regression (SVR); Wind speed forecasting

Indexed keywords

FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); REGRESSION ANALYSIS; SPEED; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WEATHER FORECASTING; WIND EFFECTS; WIND POWER;

HETEROSCEDASTIC REGRESSIONS; LARGE-SCALE WIND POWER; LEAST SQUARES SUPPORT VECTOR REGRESSION; REAL-WORLD DATASETS; REGRESSION ALGORITHMS; STOCHASTIC GRADIENT DESCENT; SUPPORT VECTOR REGRESSION (SVR); WIND POWER FORECASTING;

WIND;

EID: 84958110177     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2015.2480245     Document Type: Article

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