Short-term wind power prediction based on statistical clustering

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2011, Pages

  Zhou, H ^a   Jiang, J X ^a   Huang, M ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

ARIMA Process; Maximal Similarity; Prediction of Wind Power; Statistical Clustering

Indexed keywords

ARIMA PROCESS; DATA CLASSIFICATION; HISTORY DATA; MAXIMAL SIMILARITY; POWER MODEL; POWER PREDICTIONS; PREDICTION MODEL; STATISTICAL CLUSTERING; WIND SPEED;

ELECTRIC UTILITIES; FORECASTING; MATHEMATICAL MODELS;

WIND POWER;

EID: 82855167154     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2011.6039233     Document Type: Conference Paper

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