Bayesian neural network model to predict day-ahead electricity prices

European Transactions on Electrical Power

Volumn 20, Issue 2, 2010, Pages 231-246

  Vahidinasab, Vahid ^a   Jadid, Shahram ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Bayesian neural network; Bidding strategy; Electricity; Price forecasting; Sensitivity analysis

Indexed keywords

AUTOMATIC SELECTION; BAYESIAN APPROACHES; BAYESIAN NEURAL NETWORK MODELS; BAYESIAN NEURAL NETWORKS; BIDDING STRATEGY; CLASSICAL NEURAL NETWORKS; COMPETITIVE ELECTRICITY MARKETS; COMPLEX SIGNAL; CORRELATION COEFFICIENT; DEGREE OF UNCERTAINTY; ELECTRICITY PRICE FORECASTING; ELECTRICITY PRICES; ENERGY MARKETS; FORECASTING MODELS; FORECASTING TOOLS; LOCATIONAL MARGINAL PRICES; MARKET PARTICIPANTS; MARYLAND; NETWORK WEIGHTS; NEW JERSEY; OPTIMUM INPUT; OVERFITTING; PENNSYLVANIA; PRICE FORECASTING; SIMILAR DAY; STOCHASTIC BEHAVIOR; TIME DEPENDENT BEHAVIOR; TRAINING DATA;

BAYESIAN NETWORKS; COMMERCE; COSTS; ELECTRIC LOAD FORECASTING; SCALES (WEIGHING INSTRUMENTS); SENSITIVITY ANALYSIS; TECHNOLOGICAL FORECASTING; TIME SERIES;

NEURAL NETWORKS;

EID: 77949557126     PISSN: 1430144X     EISSN: 15463109     Source Type: Journal    
DOI: 10.1002/etep.316     Document Type: Article

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