Spatial-temporal forecasting of solar radiation

被引:43
作者
Boland, John [1 ,2 ]
机构
[1] Univ S Australia, Ctr Ind & Appl Math, Mawson Lakes 5095, Australia
[2] Univ S Australia, Barbara Hardy Inst, Mawson Lakes 5095, Australia
关键词
CARDS forecast model; Multivariate modelling; Cross correlation; Correlated ARCH effect; NEURAL-NETWORKS; ASSET RETURNS; IRRADIANCE; SERIES; MODEL;
D O I
10.1016/j.renene.2014.10.035
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We apply the CARDS solar forecasting tool, developed at the University of South Australia, to forecasting of solar radiation series at three sites in Guadeloupe in the Caribbean. After performing the model estimates at each individual site, forecast errors were tested for cross correlation. It was found that on an hourly time scale, there was small but significant correlation between sites, and this was taken into account in refining the forecast. Cross correlation was found to be insignificant at the ten minute time scale so this effect was not included in the forecasting. Also, the final error series in each case was tested for an ARCH effect, finding that to construct prediction intervals for the forecast a conditional heteroscedastic model had to be constructed for the variance. Note that cross correlation between sites has to be included for this procedure as well as in the forecasting of the radiation. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:607 / 616
页数:10
相关论文
共 27 条
[1]  
[Anonymous], 2008, TIME SERIES STAT MOD, DOI DOI 10.1007/978-3-540-77455-6_11
[2]   Online short-term solar power forecasting [J].
Bacher, Peder ;
Madsen, Henrik ;
Nielsen, Henrik Aalborg .
SOLAR ENERGY, 2009, 83 (10) :1772-1783
[3]   TIME-SERIES ANALYSIS OF CLIMATIC VARIABLES [J].
BOLAND, J .
SOLAR ENERGY, 1995, 55 (05) :377-388
[4]   Study of forecasting solar irradiance using neural networks with preprocessing sample data by wavelet analysis [J].
Cao, J. C. ;
Cao, S. H. .
ENERGY, 2006, 31 (15) :3435-3445
[5]   Study of hourly and daily solar irradiation forecast using diagonal recurrent wavelet neural networks [J].
Cao, Jiacong ;
Lin, Xingchun .
ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (06) :1396-1406
[6]   Correlated ARCH (CorrARCH): Modelling the time-varying conditional correlation between financial asset returns [J].
Christodoulakis, GA ;
Satchell, SE .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 139 (02) :351-370
[7]   Common volatility and correlation clustering in asset returns [J].
Christodoulakis, George A. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 182 (03) :1263-1284
[8]   Review of solar irradiance forecasting methods and a proposition for small-scale insular grids [J].
Diagne, Maimouna ;
David, Mathieu ;
Lauret, Philippe ;
Boland, John ;
Schmutz, Nicolas .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 27 :65-76
[9]   Short-term solar irradiance forecasting using exponential smoothing state space model [J].
Dong, Zibo ;
Yang, Dazhi ;
Reindl, Thomas ;
Walsh, Wilfred M. .
ENERGY, 2013, 55 :1104-1113
[10]   Monthly electric energy demand forecasting with neural networks and Fourier series [J].
Gonzalez-Romera, E. ;
Jaramillo-Moran, M. A. ;
Carmona-Fernandez, D. .
ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (11) :3135-3142