Adaptive local learning techniques for multiple-step-ahead wind speed forecasting

Electric Power Systems Research

Volumn 83, Issue 1, 2012, Pages 129-135

  Vaccaro, Alfredo ^a   Bontempi, Gianluca ^b   Ben Taieb, Souhaib ^b   Villacci, Domenico ^a  

^a UNIVERSITY OF SANNIO   (Italy)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

Data analysis; Intelligent systems; Learning techniques; Wind forecasting

Indexed keywords

ADAPTIVE LOCAL LEARNING; BLACK BOXES; ELECTRICAL GRIDS; GREY-BOX; INTEGRATING MACHINES; KNOWLEDGE MODELING; LEARNING TECHNIQUES; LOCAL LEARNING; MASSIVE DEPLOYMENT; MEDIUM TERM; METEOROLOGICAL SENSORS; NETWORK OPERATIONS; NONHYDROSTATIC MODEL; ORIGINAL MODEL; SIDE EFFECT; SMALL-SCALE MODELING; WIND GENERATORS; WIND SPEED FORECASTING;

DATA REDUCTION; ELECTRIC UTILITIES; INTELLIGENT SYSTEMS; MODELS; WEATHER FORECASTING; WIND EFFECTS; WIND POWER;

LEARNING ALGORITHMS;

EID: 84355166528     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2011.10.008     Document Type: Article

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