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.
bivona, s., bonanno, g., burlon, r., gurrera, d., leone, c. (2011). Stochastic models for wind speed forecasting. ENERGY CONVERSION AND MANAGEMENT, 52(2), 1157-1165 [10.1016/j.enconman.2010.09.010].
Stochastic models for wind speed forecasting
BIVONA, Saverio;BONANNO, Giovanni;BURLON, Riccardo;GURRERA, Davide;LEONE, Claudio
2011-01-01
Abstract
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.
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