Short-term load forecasting using a kernel-based support vector regression combination model

Applied Energy

Volumn 132, Issue , 2014, Pages 602-609

  Che, JinXing ^a   Wang, JianZhou ^b  

^a NANCHANG INSTITUTE OF TECHNOLOGY   (China)

^b LANZHOU UNIVERSITY   (China)

Author keywords

Combination model; Kernel; Selection algorithm; Short term load forecasting; Support vector regression

Indexed keywords

ELECTRIC POWER PLANT LOADS; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; SUPPORT VECTOR REGRESSION;

CALIFORNIA POWER GRID; COMBINATION MODELS; INDIVIDUAL MODELING; KERNEL BASED METHODS; KERNEL FUNCTION; POOR PERFORMANCE; SHORT TERM LOAD FORECASTING; SUPPORT VECTOR REGRESSION (SVR);

ELECTRIC LOAD FORECASTING;

EID: 84920195266     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.07.064     Document Type: Article

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