Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm

IEEE Transactions on Power Systems

Volumn 24, Issue 1, 2009, Pages 306-318

  Amjady, Nima ^a   Keynia, Farshid ^a  

^a SEMNAN UNIVERSITY   (Iran)

Author keywords

Cascaded neuro evolutionary algorithm (CNEA); Iterative search procedure; Mutual information (MI); Price forecast

Indexed keywords

ALGORITHMS; COSTS; ELECTRIC LOAD FORECASTING; FEATURE EXTRACTION; FORECASTING; MARKETING; NEURAL NETWORKS;

ADJUSTABLE PARAMETERS; CASCADED NEURO-EVOLUTIONARY ALGORITHM (CNEA); COMPETITIVE ELECTRICITY MARKETS; COMPLEX SIGNALS; DAY-AHEAD PRICES; ELECTRICITY MARKETS; ELECTRICITY PRICES; FEATURE SELECTION METHODS; FEATURE SELECTIONS; ITERATIVE SEARCH PROCEDURE; MARKET PARTICIPANTS; MUTUAL INFORMATION (MI); NEURAL-NETWORK; NEW JERSEYS; NON LINEARITIES; NON-STATIONARITY; PRICE FORECAST; SOLUTION STRATEGIES; TIME VARIANTS;

EVOLUTIONARY ALGORITHMS;

EID: 60149084412     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2008.2006997     Document Type: Article

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