Estimation of tilted solar irradiation using Artificial Neural Networks

被引：13
|
作者：
Notton, Gilles [1 ]
Paoli, Christophe [1 ]
Diaf, Said [2 ]
机构：
[1] Univ Cors Pasquale Paoli, UMR CNRS 6134, Ctr Georges Peri, Route Sunguinaires, F-20000 Ajaccio, France
[2] Ctr Dev Energies Renouvelables, Algiers, 16340, Algeria
来源：
MEDITERRANEAN GREEN ENERGY FORUM 2013: PROCEEDINGS OF AN INTERNATIONAL CONFERENCE MGEF-13 | 2013年 / 42卷
关键词：
Solar radiation; Articial neural network; Model; Tilted planes; Global solar radiation; INCLINED SURFACES; MODELS; RADIATION; AJACCIO;
D O I：
10.1016/j.egypro.2013.11.003
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：
Calculation of solar global irradiation on tilted planes from only horizontal global one is particularly difficult when the time step is small. We used an Artificial Neural Network (ANN) to realize this conversion at an hourly and 10-min time step. The ANN is developed and optimized using five years of solar data. The accuracy is respectively for hourly and 10-min data of 6% and 9% for the RMSE and 3.5% and 5.5% for the RMAE i.e. similar or slightly lower than the errors obtained with conventional empirical correlations for hourly data. (C) 2010 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：33 / 42
页数：10
相关论文
共 50 条
  • [1] Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks
    Notton, Gilles
    Paoli, Christophe
    Vasileva, Siyana
    Nivet, Marie Laure
    Canaletti, Jean-Louis
    Cristofari, Christian
    [J]. ENERGY, 2012, 39 (01) : 166 - 179
  • [2] Daily solar irradiation estimation over a mountainous area using artificial neural networks
    Bosch, J. L.
    Lopez, G.
    Batlles, F. J.
    [J]. RENEWABLE ENERGY, 2008, 33 (07) : 1622 - 1628
  • [3] Estimation of monthly average daily global solar irradiation using artificial neural networks
    Mubiru, J.
    Banda, E. J. K. B.
    [J]. SOLAR ENERGY, 2008, 82 (02) : 181 - 187
  • [4] Solar radiation estimation using artificial neural networks
    Dorvlo, ASS
    Jervase, JA
    Al-Lawati, A
    [J]. APPLIED ENERGY, 2002, 71 (04) : 307 - 319
  • [5] Estimation of global solar radiation using artificial neural networks
    Mohandes, M
    Rehman, S
    Halawani, TO
    [J]. RENEWABLE ENERGY, 1998, 14 (1-4) : 179 - 184
  • [6] A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
    Naima El-Amarty
    Manal Marzouq
    Hakim El Fadili
    Saad Dosse Bennani
    Antonio Ruano
    [J]. Environmental Science and Pollution Research, 2023, 30 : 5407 - 5439
  • [7] A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
    El-Amarty, Naima
    Marzouq, Manal
    El Fadili, Hakim
    Bennani, Saad Dosse
    Ruano, Antonio
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (03) : 5407 - 5439
  • [8] Predicting total solar irradiation values using artificial neural networks
    Mubiru, J.
    [J]. RENEWABLE ENERGY, 2008, 33 (10) : 2329 - 2332
  • [9] Estimation of hourly global solar irradiation on tilted absorbers from horizontal one using Artificial Neural Network for case study of Mashhad
    Shaddel, Mehdi
    Javan, Dawood Seyed
    Baghernia, Parisa
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 53 : 59 - 67
  • [10] Correction to: A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
    Naima El-Amarty
    Manal Marzouq
    Hakim El Fadili
    Saad Dosse Bennani
    Antonio Ruano
    [J]. Environmental Science and Pollution Research, 2023, 30 (12) : 35515 - 35515
12345