Day-ahead price forecasting of electricity markets by a hybrid intelligent system

European Transactions on Electrical Power

Volumn 19, Issue 1, 2009, Pages 89-102

  Amjady, Nima ^a   Hemmati, Meisam ^a  

^a SEMNAN UNIVERSITY   (Iran)

Author keywords

Cross validation; Hybrid intelligent system; MCP prediction; RCGA

Indexed keywords

COSTS; FORECASTING; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; IMAGE STORAGE TUBES; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; MARKETING; NEURAL NETWORKS; TECHNOLOGICAL FORECASTING;

ARCHIVING TECHNIQUES; CHALLENGING TASKS; COMPLEX SIGNALS; CROSS-VALIDATION; ELECTRIC POWER MARKETS; ELECTRICITY MARKETS; GENERALIZATION CAPABILITIES; HYBRID INTELLIGENT SYSTEM; HYBRID SYSTEMS; MARKET CLEARING PRICES; MCP PREDICTION; OUT-LIERS; PRICE FORECASTING; RCGA; REAL-CODED GENETIC ALGORITHMS; REPETITIVE TRAININGS; SPANISHS; STOCHASTIC BEHAVIORS; STOCHASTIC SEARCHES; TIME SERIES; TIME-DEPENDENT BEHAVIORS; TRAINING DATUMS;

ELECTRIC LOAD FORECASTING;

EID: 58149379449     PISSN: 1430144X     EISSN: 15463109     Source Type: Journal    
DOI: 10.1002/etep.242     Document Type: Article

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