An enhanced radial basis function network for short-term electricity price forecasting

Applied Energy

Volumn 87, Issue 10, 2010, Pages 3226-3234

  Lin, Whei Min ^a   Gow, Hong Jey ^a   Tsai, Ming Tang ^b  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^b CHENG SHIU UNIVERSITY   (Taiwan)

Author keywords

Electricity price forecasting; Factor analysis; Locational Marginal Price (LMP); Orthogonal Experimental Design (OED); Radial Basis Function Network; Stochastic Gradient Approach (SGA)

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COSTS; FACTOR ANALYSIS; FORECASTING; FUNCTIONS; NEURAL NETWORKS; ORTHOGONAL FUNCTIONS; RADIAL BASIS FUNCTION NETWORKS; STATISTICS; STOCHASTIC SYSTEMS;

BACK-PROPAGATION NEURAL NETWORKS; ELECTRICITY PRICE FORECASTING; LOCATIONAL MARGINAL PRICES; ORTHOGONAL EXPERIMENTAL DESIGN; PROBABILITY NEURAL NETWORK; RADIAL BASIS FUNCTION NETWORKS (RBFN); STOCHASTIC GRADIENT; VOLATILE ENVIRONMENTS;

POWER MARKETS;

BACK PROPAGATION; ELECTRICAL POWER; EXPERIMENTAL DESIGN; FACTOR ANALYSIS; PRICE DETERMINATION; PROBABILITY; STOCHASTICITY;

EID: 77954032128     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2010.04.006     Document Type: Article

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