A generalized linear model approach to seasonal aspects of wind speed modeling

被引：5

作者：

Bensoussan, Alain ^{[1
,2
]}

Bertrand, Pierre ^{[3
]}

Brouste, Alexandre ^{[4
]}

机构：

[1] Univ Texas Dallas, Sch Management, Richardson, TX 75083 USA

[2] City Univ Hong Kong, Dept SEEM, Hong Kong, Hong Kong, Peoples R China

[3] Univ Clermont Ferrand 2, Math Lab, UMR CNRS 6620, Clermont Ferrand, France

[4] Univ Maine, Lab Manceau Math, F-72017 Le Mans, France

来源：

JOURNAL OF APPLIED STATISTICS | 2014年 / 41卷 / 08期

关键词：

seasonality; Weibull law; wind speed time series; maximum likelihood estimation; generalized linear models;

D O I：

10.1080/02664763.2014.888543

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The aim of the article is to identify the intraday seasonality in a wind speed time series. Following the traditional approach, the marginal probability law is Weibull and, consequently, we consider seasonal Weibull law. A new estimation and decision procedure to estimate the seasonal Weibull law intraday scale parameter is presented. We will also give statistical decision-making tools to discard or not the trend parameter and to validate the seasonal model.

引用

页码：1694 / 1707

页数：14

共 19 条

[1] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].

AKAIKE, H .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723

[2] SUFFICIENCY AND EXPONENTIAL FAMILIES FOR DISCRETE SAMPLE SPACES [J].

ANDERSEN, EB .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1970, 65 (331) :1248-&

[3]

[Anonymous], 2010, R LANG ENV STAT COMP

[4] Forecasting the energy produced by a windmill on a yearly basis [J].

Bensoussan, Alain ;

Bertrand, Pierre Raphael ;

Brouste, Alexandre .

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2012, 26 (08) :1109-1122

[5] 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

[6]

D'Amico G, 2013, J RENEWABLE ENERGY, V2013, P6

[7] A study of Weibull parameters using long-term wind observations [J].

Lun, IYF ;

Lam, JC .

RENEWABLE ENERGY, 2000, 20 (02) :145-153

[8]

McCullagh P, 1989, GENERALIZED LINEAR M, DOI DOI 10.1007/978-1-4899-3242-6

[9] GENERALIZED LINEAR MODELS [J].

NELDER, JA ;

WEDDERBURN, RW .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-GENERAL, 1972, 135 (03) :370-+

[10]

TULLER SE, 1984, J CLIM APPL METEOROL, V23, P124, DOI 10.1175/1520-0450(1984)023<0124:TCOWVT>2.0.CO

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