Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5481908 | Renewable and Sustainable Energy Reviews | 2018 | 8 Pages |
Abstract
This study investigated the behavior of the two models for different climate conditions through two scenarios. The outcome indicates that the number of samples that the ANN will be trained with to predict the GHI is more significant than the climatic conditions from where these samples are retrieved. However, presenting input data from sites which have a climate condition similar to that of the predicted region increases the accuracy of the IDW model.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
I. Loghmari, Y. Timoumi, A. Messadi,