A novel method based on PCA and LS-SVM for power load forecasting

3rd International Conference on Deregulation and Restructuring and Power Technologies, DRPT 2008

Volumn , Issue , 2008, Pages 759-763

  Liu, Baoying ^a   Yang, Rengang ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Influencing factors; Least squares support vector machine; Load forecasting; Principal component analysis

Indexed keywords

CHLORINE COMPOUNDS; CURVE FITTING; DEREGULATION; ELECTRIC POWER SYSTEMS; FORECASTING; INDUSTRIAL ECONOMICS; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; RESEARCH AIRCRAFT; SUPPORT VECTOR MACHINES; TECHNOLOGY; TWO PHASE FLOW; VECTORS;

COMPLEX COMPUTING; ELECTRIC POWERS; FORECAST MODELS; GREATER ACCURACY; HIGHER PRECISION; INFLUENCING FACTORS; INTERNATIONAL CONFERENCES; LEAST SQUARES SUPPORT VECTOR MACHINE; LEAST-SQUARES SUPPORT VECTOR MACHINES; LOAD FORECASTING; NOVEL METHODS; POWER LOAD FORECASTING; POWER SYSTEM OPERATIONS; POWER TECHNOLOGIES; PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS ANALYSIS; STATISTIC ANALYSIS;

ELECTRIC LOAD FORECASTING;

EID: 49649089926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DRPT.2008.4523507     Document Type: Conference Paper

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