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RESEARCH PRODUCT

Stochastic models for wind speed forecasting

Claudio LeoneRiccardo BurlonD. GurreraSaverio BivonaGiovanni Bonanno

subject

Class (computer programming)EngineeringSeries (mathematics)Artificial neural networkMeteorologyRenewable Energy Sustainability and the EnvironmentStochastic modellingbusiness.industryModel selectionSettore FIS/01 - Fisica SperimentaleEnergy Engineering and Power TechnologySettore FIS/03 - Fisica Della MateriaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Wind speedFuel TechnologyNuclear Energy and EngineeringSpectral analysisbusinessstochastic models time series model selection spectral analysis artificial neural networks wind forecastingAlgorithm

description

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.

yearjournalcountryeditionlanguage
2011-02-01Energy Conversion and Management
https://doi.org/10.1016/j.enconman.2010.09.010