A short-term wind power forecasting approach with adjustment of numerical weather prediction input by data mining

IEEE Transactions on Sustainable Energy

Volumn 6, Issue 4, 2015, Pages 1283-1291

  Xu, Qianyao ^a   He, Dawei ^b   Zhang, Ning ^a   Kang, Chongqing ^a   Xia, Qing ^a   Bai, Jianhua ^c   Huang, Junhui ^d  

^a TSINGHUA UNIVERSITY   (China)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c STATE GRID CORPORATION OF CHINA   (China)

^d JIANGSU ELECTRIC POWER COMPANY   (China)

Author keywords

Artificial neural network; data adjustment; feature selection; numerical weather prediction; wind power forecast error

Indexed keywords

DATA MINING; ERRORS; FORECASTING; WIND POWER;

BAD DATA; BAD DATA DETECTIONS; HIERARCHICAL STRUCTURES; MEANS CLUSTERING; NEURAL NETWORK (NN); NUMERICAL WEATHER PREDICTION; SHORT-TERM WIND POWER FORECAST; SHORT-TERM WIND POWER FORECASTING;

WEATHER FORECASTING;

EID: 84960799300     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2015.2429586     Document Type: Article

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