Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

Applied Energy

Volumn 145, Issue , 2015, Pages 191-197

  Ait Maatallah, Othman ^a   Achuthan, Ajit ^a   Janoyan, Kerop ^a   Marzocca, Pier ^b  

^a CLARKSON UNIVERSITY   (United States)

^b RMIT UNIVERSITY   (Australia)

Author keywords

ANN model; ARIMA model; HAR model; Iterative multi steps WSF; Pattern identification; Short term forecast

Indexed keywords

FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; SCHEDULING;

ANN MODELING; ARIMA MODELING; MULTI-STEP; PATTERN IDENTIFICATION; SHORT-TERM FORECASTS;

WIND;

ARTIFICIAL NEURAL NETWORK; ERROR ANALYSIS; NUMERICAL MODEL; PATTERN RECOGNITION; REGRESSION ANALYSIS; RENEWABLE RESOURCE; WEATHER FORECASTING; WIND VELOCITY;

EID: 84923368046     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.02.032     Document Type: Article

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