Multi step ahead forecasting of wind power by genetic algorithm based neural networks

Proceedings of 6th IEEE Power India International Conference, PIICON 2014

Volumn , Issue , 2014, Pages

  Saroha, Sumit ^a   Aggarwal, S K ^a  

^a MAHARISHI MARKANDESHWAR DEEMED TO BE UNIVERSITY   (India)

Author keywords

Genetic algorithm; multi step ahead forecasting; neural networks; time series; Wind power

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; STATISTICAL MECHANICS; TIME SERIES; WIND POWER;

ARTIFICIAL INTELLIGENCE TECHNIQUES; AUTOCORRELATION FUNCTIONS; MEAN ABSOLUTE PERCENTAGE ERROR; MULTI-STEP; ONTARIO ELECTRICITY MARKETS; TIME SERIES MODELING; WIND POWER FORECASTING; WIND POWER PREDICTIONS;

WEATHER FORECASTING;

EID: 84988304532     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/34084POWERI.2014.7117664     Document Type: Conference Paper

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