Electric load forecasting based on a least squares support vector machine with fuzzy time series and global harmony search algorithm

Energies

Volumn 9, Issue 2, 2016, Pages

  Chen, Yan Hong ^a   Hong, Wei Chiang ^b,c   Shen, Wen ^a   Huang, Ning Ning ^a  

^a ZHEJIANG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b NANJING TECH UNIVERSITY   (China)

^c ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Electric load forecasting; Fuzzy c means (FCM); Fuzzy time series (FTS); Global harmony search algorithm (GHSA); Least squares support vector machine (LSSVM)

Indexed keywords

CLUSTERING ALGORITHMS; ELECTRIC LOAD FORECASTING; ELECTRIC POWER PLANT LOADS; FUZZY SYSTEMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES;

FUZZY C-MEAN; FUZZY TIME SERIES; FUZZY-C MEANS; GLOBAL HARMONY SEARCH ALGORITHM; HARMONY SEARCH ALGORITHMS; LEAST SQUARE SUPPORT VECTOR MACHINE; LEAST SQUARE SUPPORT VECTOR MACHINES; LOAD FORECASTING MODEL; SUPPORT VECTOR MACHINE MODELS; TIMES SERIES;

TIME SERIES;

EID: 84959355360     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en9020070     Document Type: Article

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