Prediction of Global Solar Radiation in UAE Using Artificial Neural Networks

被引：0

作者：

Assi, Ali H. ^{[1
]}

Al-Shamisi, Maitha H. ^{[2
]}

Hejase, Hassan A. N. ^{[2
]}

Haddad, Ahmad ^{[1
]}

机构：

[1] Lebanese Int Univ, Dept Elect & Elect Engn, Beirut, Lebanon

[2] UAE Univ, Dept Elect Engn, Al Ain, U Arab Emirates

来源：

2013 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2013年

关键词：

Global Solar Radiation (GSR); Artificial Neural Networks; Multilayer Perceptron; Radial Basis Function; modeling; UAE;

D O I：

暂无

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：

This paper presents an artificial neural network (ANN) model for predication global solar radiation (GSR) for main cities in the UAE namely, Abu Dhabi, Al-Ain and Dubai. Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) techniques with comprehensive training algorithms, architectures, and different combinations of inputs are used to develop these models. The measured data include the maximum temperature (degrees C), mean wind speed (knot), sunshine hours, mean relative humidity (%) and mean daily global solar radiation on a horizontal surface (kWh/m(2)). This data was provided by the National Center of Meteorology and Seismology (NCMS) of Abu Dhabi. The results show the generalization capability of ANN approach and its ability to generate accurate prediction of GSR in UAE.

引用

页码：196 / 200

页数：5

共 29 条

[1] Al Mansouri M., 2011, KHALEEJ TIMES DUBAI
[2] Al Shamisi M., INT C REN EN GEN APP
[3] An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation
Al-Alawi, SM
Al-Hinai, HA
[J]. RENEWABLE ENERGY, 1998, 14 (1-4) : 199 - 204
[4] ARTIFICIAL NEURAL NETWORKS FOR PREDICTING GLOBAL SOLAR RADIATION IN AL AIN CITY - UAE
Al-Shamisi, Maitha H.
Assi, Ali H.
Hejase, Hassan A. N.
[J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2013, 10 (05) : 443 - 456
[5] [Anonymous], 6 INT C COMP AGR CAN
[6] Assi A., 2011, Proceedings of the 26th European International Conference on Photovoltaic Solar Energy, P4328
[7] Assi Ali, 2010, Proceedings of the 4th WSEAS International Conference on Energy Planning, Energy Saving, Environmental Education (EPESE 2010). 4th WSEAS International Conference on Renewable Energy Sources (RES 2010), P101
[8] The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
Behrang, M. A.
Assareh, E.
Ghanbarzadeh, A.
Noghrehabadi, A. R.
[J]. SOLAR ENERGY, 2010, 84 (08) : 1468 - 1480
[9] Solar radiation estimation using artificial neural networks
Dorvlo, ASS
Jervase, JA
Al-Lawati, A
[J]. APPLIED ENERGY, 2002, 71 (04) : 307 - 319
[10] DEVELOPMENT OF A NEURAL-NETWORK MODEL TO PREDICT DAILY SOLAR-RADIATION
ELIZONDO, D
HOOGENBOOM, G
MCCLENDON, RW
[J]. AGRICULTURAL AND FOREST METEOROLOGY, 1994, 71 (1-2) : 115 - 132

← 1 2 3 →