Reducing errors of wind speed forecasts by an optimal combination of post-processing methods

Meteorological Applications

Volumn 20, Issue 1, 2013, Pages 32-40

  Sweeney, Conor P ^a   Lynch, Peter ^a   Nolan, Paul ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Adaptive post processing; Artificial neural network; Kalman filter; Numerical weather prediction

Indexed keywords

KALMAN FILTERS; MEAN SQUARE ERROR; NEURAL NETWORKS; NUMERICAL METHODS; PROCESSING; SPEED; WIND;

COMBINING FORECASTS; HORIZONTAL RESOLUTION; NUMERICAL WEATHER PREDICTION; OPTIMAL COMBINATION; POST PROCESSING; POSTPROCESSING METHODS; ROOT MEAN SQUARED ERRORS; WIND SPEED FORECAST;

WEATHER FORECASTING;

ARTIFICIAL NEURAL NETWORK; ERROR CORRECTION; FORECASTING METHOD; KALMAN FILTER; WEATHER FORECASTING; WIND VELOCITY;

IRELAND;

EID: 84874680260     PISSN: 13504827     EISSN: 14698080     Source Type: Journal    
DOI: 10.1002/met.294     Document Type: Article

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