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Stochastic models for wind speed forecasting
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DOI：10.1016/j.enconman.2010.09.010.png)
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摘要
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This paper is concerned with the problem of developing a general class of stochastic models for hourly average wind speed time series. The proposed approach has been applied to the time series recorded during 4 years in two sites of Sicily, a region of Italy, and it has attained valuable results in terms both of modelling and forecasting. Moreover, the 24 h predictions obtained employing only 1-month time series are quite similar to those provided by a feed-forward artificial neural network trained on 2 years data. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Stochastic models
Time series
Model selection
Spectral analysis
Artificial neural networks
Wind forecasting
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期刊
IF:
10.9
论文数:
2.0W
被引数:
11.3W
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