Comparison of linear, Kalman filter and neural network downscaling of wind speeds from numerical weather prediction

2011 10th International Conference on Environment and Electrical Engineering, EEEIC.EU 2011 - Conference Proceedings

Volumn , Issue , 2011, Pages

  Watters, Christophe Sibuet ^a   Leahy, Paul ^b  

^a UNIVERSITÉ DU QUÉBEC À RIMOUSKI   (Canada)

^b UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BEST FIT; CLASSICAL TECHNIQUES; DOWNSCALING METHODS; DOWNSCALING PROCESS; HISTORICAL DATA; KALMAN FILTER AND NEURAL NETWORK; KALMAN FILTER TECHNIQUE; METEOROLOGICAL STATION; NUMERICAL WEATHER PREDICTION; NUMERICAL WEATHER PREDICTION MODELS; PREDICTION ACCURACY; TECHNIQUES USED; WIND SPEED; WIND SPEED MEASUREMENT; WIND SPEED PREDICTION;

ELECTRICAL ENGINEERING; KALMAN FILTERS; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL METHODS; WIND EFFECTS; WIND POWER;

WEATHER FORECASTING;

EID: 79959928609     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EEEIC.2011.5874865     Document Type: Conference Paper

References (5)

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