Stochastic models for wind speed forecasting

被引：48

作者：

Bivona, S. ^{[1
]}

Bonanno, G. ^{[1
]}

Burlon, R. ^{[1
]}

Gurrera, D. ^{[1
]}

Leone, C. ^{[1
]}

机构：

[1] Univ Palermo, Dipartimento Fis & Tecnol Relat, I-90128 Palermo, Italy

来源：

ENERGY CONVERSION AND MANAGEMENT | 2011年 / 52卷 / 02期

关键词：

Stochastic models; Time series; Model selection; Spectral analysis; Artificial neural networks; Wind forecasting; SIMULATION; SEQUENCES;

D O I：

10.1016/j.enconman.2010.09.010

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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.

引用

页码：1157 / 1165

页数：9

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