Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8076471 | Energy | 2014 | 11 Pages |
Abstract
The optimal ANN model is MLP-based and requires four mean daily weather parameters; namely, maximum temperature, wind speed, sunshine hours, and relative humidity. The computed statistical error parameters for the optimal MLP-ANN model in relation to the measured three-cities mean data (referred to as UAE data) are MBE (mean bias error) = â0.0003 kWh/m2, RMSE = 0.179 kWh/m2, R2 = 99%, NSE (Nash-Sutcliffe model Efficiency coefficient) = 99%, and t-statistic = 0.005 at 5% significance level. Results prove the suitability of the ANN models for estimating the monthly mean daily GHI in different locations of the UAE.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Hassan A.N. Hejase, Maitha H. Al-Shamisi, Ali H. Assi,