Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting

Applied Mathematical Modelling

Volumn 37, Issue 23, 2013, Pages 9643-9651

  Ju, Fuh Yuh ^a   Hong, Wei Chiang ^b  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

^b ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Chaotic gravitational search algorithm (CGSA); Electricity forecasting; Seasonal mechanism; Support vector regression (SVR)

Indexed keywords

CHAOTIC LOCAL SEARCHES; ECONOMIC ACTIVITIES; FORECASTING MODELING; FORECASTING PERFORMANCE; GRAVITATIONAL SEARCH ALGORITHMS; OPTIMIZATION ALGORITHMS; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION MODELS;

ECONOMICS; ELECTRICITY; ITERATIVE METHODS; LEARNING ALGORITHMS; REGRESSION ANALYSIS;

FORECASTING;

EID: 84885960542     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2013.05.016     Document Type: Article

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