Short-term prediction of wind power using a hybrid pseudo-inverse Legendre neural network and adaptive firefly algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-017-3185-3.pdf
Reference46 articles.
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3. Jiang Y, Song Z, Kusiak A (2013) Very short-term wind speed forecasting with Bayesian structural break model. Renew Energy 50:637–647
4. Poncela M, Poncela P, Perán JR (2013) Automatic tuning of Kalman filters by maximum likelihood methods for wind energy forecasting. Appl Energy 108:349–362
5. Peng H, Liu F, Yang X (2013) A hybrid strategy of short term wind power prediction. Renew Energy 50:590–595
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