Parameter selection for support vectormachines based on genetic algorithms to short-term power load forecasting

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

Volumn 40, Issue 1, 2009, Pages 180-184

  Wu, Jing Long ^a,b   Yang, Shu Xia ^a   Liu, Cheng Shui ^c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b Northern United Power Corporation   (China)

^c BEIJING CITY UNIVERSITY   (China)

Author keywords

Genetic algorithm; Parameter selection; Power load forecasting; Support vector machine (SVM)

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; GENETIC ALGORITHMS; IMAGE RETRIEVAL; PARAMETER ESTIMATION; SUPPORT VECTOR MACHINES; VECTORS;

FORECASTING ACCURACIES; NEW MODELS; OPTIMUM PARAMETER VALUES; PARAMETER SELECTION; PARAMETER VALUES; POWER LOAD FORECASTING; RELATIVE ERRORS; ROOT MEAN SQUARES; SAMPLE DATUM; SUPPORT VECTOR MACHINE (SVM); SVM MODELS;

ELECTRIC LOAD FORECASTING;

EID: 63349102517     PISSN: 16727207     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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