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

共 24 条

[1] MARKOV-PROCESSES AND FOURIER-ANALYSIS AS A TOOL TO DESCRIBE AND SIMULATE DAILY SOLAR IRRADIANCE [J].

AMATO, U ;

ANDRETTA, A ;

BARTOLI, B ;

COLUZZI, B ;

CUOMO, V ;

FONTANA, F ;

SERIO, C .

SOLAR ENERGY, 1986, 37 (03) :179-194

[2]

Bishop CM., 1995, NEURAL NETWORKS PATT

[3]

Box G.E.P., 1994, Time Series Analysis, Forecasting and Control, V3rd

[4]

Brockwell PJ, 2016, SPRINGER TEXTS STAT, P1, DOI 10.1007/978-3-319-29854-2

[5]

BROWN BG, 1984, J CLIM APPL METEOROL, V23, P1184, DOI 10.1175/1520-0450(1984)023<1184:TSMTSA>2.0.CO

[6]

[7] Short term wind speed forecasting in La Venta, Oaxaca, Mexico, using artificial neural networks [J].

Cadenas, Erasmo ;

Rivera, Wilfrido .

RENEWABLE ENERGY, 2009, 34 (01) :274-278

[8] Specification of training sets and the number of hidden neurons for multilayer perceptrons [J].

Camargo, LS ;

Yoneyama, T .

NEURAL COMPUTATION, 2001, 13 (12) :2673-2680

[9] A review of wind speed probability distributions used in wind energy analysis Case studies in the Canary Islands [J].

Carta, J. A. ;

Ramirez, P. ;

Velazquez, S. .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (05) :933-955

[10] STOCHASTIC SIMULATION AND FORECASTING OF HOURLY AVERAGE WIND-SPEED SEQUENCES IN JAMAICA [J].

DANIEL, AR ;

CHEN, AA .

SOLAR ENERGY, 1991, 46 (01) :1-11

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