A short-term load forecasting model with a modified particle swarm optimization algorithm and least squares support vector machine based on the denoising method of empirical mode decomposition and grey relational analysis

Energies

Volumn 10, Issue 3, 2017, Pages

  Niu, Dongxiao ^a   Dai, Shuyu ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Empirical Mode Decomposition; Grey Relational Analysis; Least square support vector machine; Modified particle swarm optimization algorithm; Short term load forecasting

Indexed keywords

ELECTRIC POWER PLANT LOADS; ELECTRIC POWER SYSTEMS; FORECASTING; LEAST SQUARES APPROXIMATIONS; LOADS (FORCES); NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SIGNAL PROCESSING; VECTORS;

EMPIRICAL MODE DECOMPOSITION; GREY RELATIONAL ANALYSIS; LEAST SQUARE SUPPORT VECTOR MACHINES; MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHMS; SHORT TERM LOAD FORECASTING;

SUPPORT VECTOR MACHINES;

EID: 85024398136     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en10030408     Document Type: Article

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