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

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.
Settore FIS/03 - Fisica Della Materia
Settore FIS/01 - Fisica Sperimentale
Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/51805
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