The short-term power load forecasting based on sperm whale algorithm and wavelet least square support vector machine with DWT-IR for feature selection

Sustainability (Switzerland)

Volumn 9, Issue 7, 2017, Pages

  Liu, Jin Peng ^a   Li, Chang Ling ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b State Grid of Xinjiang Electric Power Company   (China)

Author keywords

Feature selection; Least square support vector machine; Load forecasting; Sperm whale algorithm

Indexed keywords

ACCURACY ASSESSMENT; ALGORITHM; FORECASTING METHOD; INTEGRATED APPROACH; MAPPING; NONLINEARITY; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

PHYSETERIDAE;

EID: 85021977025     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su9071188     Document Type: Article

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