期刊
ENERGY CONVERSION AND MANAGEMENT
卷 52, 期 2, 页码 1157-1165出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2010.09.010
关键词
Stochastic models; Time series; Model selection; Spectral analysis; Artificial neural networks; Wind forecasting
资金
- Italian Ministry of University and Scientific Research
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.
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