A multiobjective framework for wind speed prediction interval forecasts

Renewable Energy

Volumn 87, Issue , 2016, Pages 903-910

  Shrivastava, Nitin Anand ^a   Lohia, Kunal ^a   Panigrahi, Bijaya Ketan ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Differential evolution; Multi objective; Prediction interval; Renewable energy; Support vector machines; Wind speed

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRIC UTILITIES; EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; PARETO PRINCIPLE; RENEWABLE ENERGY RESOURCES; SUPPORT VECTOR MACHINES; WIND; WIND POWER;

DIFFERENTIAL EVOLUTION; MULTI OBJECTIVE; PREDICTION INTERVAL; RENEWABLE ENERGIES; WIND SPEED;

FORECASTING;

ALGORITHM; FORECASTING METHOD; FOSSIL FUEL; IMPLEMENTATION PROCESS; MACHINE LEARNING; POWER GENERATION; PREDICTION; RENEWABLE RESOURCE; SUPPORT VECTOR MACHINE; WIND POWER; WIND VELOCITY;

UNITED STATES;

EID: 84940704970     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.08.038     Document Type: Article

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