Hourly solar irradiance time series forecasting using cloud cover index

被引：182

作者：

Yang Dazhi ^{[1
]}

Jirutitijaroen, Panida ^{[1
]}

Walsh, Wilfred M. ^{[2
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, Singapore

[2] Natl Univ Singapore, Solar Energy Res Inst Singapore, Singapore 117548, Singapore

来源：

SOLAR ENERGY | 2012年 / 86卷 / 12期

基金：

新加坡国家研究基金会;

关键词：

Cloud cover; Time series; Regression; ARIMA; RADIATION; PREDICTION; MODEL; SKY;

D O I：

10.1016/j.solener.2012.07.029

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

We apply time series analysis to forecast next hour solar irradiance including cloud cover effects. Three forecasting methods are proposed using different types of meteorological data as input parameters, namely, global horizontal irradiance (GHI), diffuse horizontal irradiance (DHI), direct normal irradiance (DNI) and cloud cover. The first method directly uses GHI to forecast next hour GHI through additive seasonal decomposition followed by an Auto-Regressive Integrated Moving Average (ARIMA) model. The second method forecasts DHI and DNI separately using additive seasonal decomposition followed by an ARIMA model and then combines the two forecasts to predict GHI using an atmospheric model. The third method considers cloud cover effects. An ARIMA model is used to predict cloud transients. GHI at different zenith angles and under different cloud cover conditions is constructed using nonlinear regression, i.e., we create a look-up table of GHI regression models for different cloud cover conditions. All three methods are tested using data from two weather stations in the USA: Miami and Orlando. It is found that forecasts using cloud cover information can improve the forecast accuracy. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：3531 / 3543

页数：13

共 28 条

[1]

[Anonymous], NATIONAL SOLAR RADIA

[2]

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

[3] GROUND-LEVEL SOLAR-RADIATION PREDICTION MODEL INCLUDING CLOUD COVER EFFECTS [J].

BRINSFIELD, R ;

YARAMANOGLU, M ;

WHEATON, F .

SOLAR ENERGY, 1984, 33 (06) :493-499

[4] Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed [J].

Chow, Chi Wai ;

Urquhart, Bryan ;

Lave, Matthew ;

Dominguez, Anthony ;

Kleissl, Jan ;

Shields, Janet ;

Washom, Byron .

SOLAR ENERGY, 2011, 85 (11) :2881-2893

[5]

Cleveland Robert B, 1990, J Off Stat, V6, P3, DOI DOI 10.1007/978-1-4613-4499-5_24

[6] Simulation of global solar radiation based on cloud observations [J].

Ehnberg, JSG ;

Bollen, MHJ .

SOLAR ENERGY, 2005, 78 (02) :157-162

[7]

Faraway J J, 2002, Practical Regression and Anova using R

[8] Short-term forecasting of solar radiation:: A statistical approach using satellite data [J].

Hammer, A ;

Heinemann, D ;

Lorenz, E ;

Lückehe, B .

SOLAR ENERGY, 1999, 67 (1-3) :139-150

[9]

Kimura K., 1969, ASHRAE J

[10] Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems [J].

Lorenz, Elke ;

Hurka, Johannes ;

Heinemann, Detlev ;

Beyer, Hans Georg .

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2009, 2 (01) :2-10

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