An adaptive short-term prediction scheme for wind energy storage management

Energy Conversion and Management

Volumn 52, Issue 6, 2011, Pages 2412-2416

  Blonbou, Ruddy ^a   Monjoly, Stéphanie ^a   Dorville, Jean Franois ^a  

^a UNIVERSITÉ DES ANTILLES ET DE LA GUYANE   (France)

Author keywords

Energy scheduling; Energy storage; Wind energy prediction

Indexed keywords

ADAPTIVE LEARNING; ARTIFICIAL NEURAL NETWORK; BAYESIAN APPROACHES; ELECTRICAL GRIDS; ELECTRICITY PRODUCTION; ENERGY SCHEDULING; ENERGY STORAGE CAPACITY; GAUSSIAN APPROXIMATIONS; NETWORK OPERATOR; OPTIMAL INTEGRATION; PENETRATION RATES; POWER OUT PUT; POWER SYSTEMS; PREDICTION MODEL; PREDICTION PROBLEM; PRIMARY CONTROL; SHORT TERM PREDICTION; STORAGE MANAGEMENT; UTILITY NETWORK; WIND ENERGY; WIND ENERGY PREDICTION; WIND GENERATION; WIND POWER CAPACITY; WIND POWER VARIATIONS; WIND VARIATION;

BAYESIAN NETWORKS; ENERGY STORAGE; FLYWHEELS; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; SCHEDULING;

WIND POWER;

EID: 79953157094     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2011.01.013     Document Type: Article

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