This paper aims at providing a general class of stochastic models for hourly average wind speed time series taking into account all the main features of wind speed data, namely autocorrelation, non-Gaussian distribution, seasonal and diurnal nonstationarity. It will be shown that the methodology developed in this study, tested using the data recorded in two sites of Italy, attains valuable results in terms both of modelling and forecasting.
Bonanno, G., Burlon, R., Gurrera, D. (2009). Wind Speed Forecasting. MODERN PROBLEMS OF STATISTICAL PHYSICS, 8, 146-160.
Wind Speed Forecasting
BONANNO, Giovanni;BURLON, Riccardo;GURRERA, Davide
2009-01-01
Abstract
This paper aims at providing a general class of stochastic models for hourly average wind speed time series taking into account all the main features of wind speed data, namely autocorrelation, non-Gaussian distribution, seasonal and diurnal nonstationarity. It will be shown that the methodology developed in this study, tested using the data recorded in two sites of Italy, attains valuable results in terms both of modelling and forecasting.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
reprint.pdf
Solo gestori archvio
Descrizione: Articolo Principale
Dimensione
740.35 kB
Formato
Adobe PDF
|
740.35 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
