Self-adaptive radial basis function neural network for short-term electricity price forecasting

IET Generation, Transmission and Distribution

Volumn 3, Issue 4, 2009, Pages 325-335

  Meng, K ^a   Dong, Z Y ^b   Wong, K P ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ATTITUDE CONTROL; COSTS; ELECTRICITY; EVOLUTIONARY ALGORITHMS; FUZZY NEURAL NETWORKS; MARKETING; RADIAL BASIS FUNCTION NETWORKS; RISK ANALYSIS; RISK MANAGEMENT; SYSTEMS ENGINEERING; TIME SERIES;

CHAOS TIME SERIES; DIFFERENTIAL EVOLUTIONS; ELECTRICITY MARKETS; ELECTRICITY PRICE FORECASTING; ELECTRICITY PRICES; FUZZY C-MEANS; HIDDEN LAYERS; LEARNING APPROACHES; MARKET PARTICIPANTS; MODEL PARAMETERS; MOVING WINDOWS; NATIONAL ELECTRICITY MARKETS; PRICE PREDICTION MODELS; QUEENSLAND; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORKS; RISK MANAGEMENT PLANS; SELF-ADAPTIVE; WAVELET DE-NOISING TECHNIQUES;

ELECTRIC LOAD FORECASTING;

EID: 63449099837     PISSN: 17518687     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-gtd.2008.0328     Document Type: Article

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