Short-term electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm

Electric Power Systems Research

Volumn 146, Issue , 2017, Pages 270-285

  Zhang, Xiaobo ^a   Wang, Jianzhou ^a   Zhang, Kequan ^b  

^a DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b LANZHOU UNIVERSITY   (China)

Author keywords

Cuckoo search algorithm; Electric load forecasting; Forecasting validity; Singular spectrum analysis; Support vector machine

Indexed keywords

DATA HANDLING; ELECTRIC POWER PLANT LOADS; ELECTRIC POWER SYSTEM PLANNING; ELECTRIC POWER SYSTEMS; FORECASTING; LEARNING ALGORITHMS; OPTIMIZATION; SIGNAL PROCESSING; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES;

CUCKOO SEARCH ALGORITHMS; DATA PREPROCESSING; FORECASTING MODELING; INTELLIGENT METHOD; OPERATION OF POWER SYSTEM; SHORT-TERM ELECTRIC LOAD FORECASTING; SINGULAR SPECTRUM ANALYSIS; SVM(SUPPORT VECTOR MACHINE);

ELECTRIC LOAD FORECASTING;

EID: 85013197196     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2017.01.035     Document Type: Article

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