Forecasting a short-term wind speed using a deep belief network combined with a local predictor
Author:
Affiliation:
1. School of Electric Power Engineering; South China University of Technology; Guangzhou 510640 China
Funder
Fundamental Research Funds for Central Universities
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/tee.22802/fullpdf
Reference21 articles.
1. Short-term spatio-temporal wind power forecast in robust look-ahead power system dispatch;Xie;IEEE Transactions on Smart Grid,January 2014
2. Short-term wind speed or power forecasting with heteroscedastic support vector regression;Hu;IEEE Transactions on Sustainable Energy,January 2016
3. A comparative study of empirical mode decomposition-based short-term wind speed forecasting methods;Ren;IEEE Transactions on Sustainable Energy,January 2015
4. Bidding wind energy exploiting wind speed forecasts;Giannitrapani;IEEE Transactions on Power Systems,July 2016
5. Impact of oceansat-2 scatterometer winds and tmi observations on phet cyclone simulation;Kumar;IEEE Transactions on Geoscience and Remote Sensing,June 2013
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