Environmental Impacts and Sustainability
1. Application of Artificial Neural Networks to the Simulation of Climate Elements, Drought Forecast by Two Indicators of SPI and PNPI, and Mapping of Drought Intensity; Case Study of Khorasan Razavi

Mohammad Hossein Jahangir; Mahnaz Abolghasemi; Seyedeh Mahsa Mousavi Reineh

Volume 7, Issue 2 , Spring 2020, , Pages 19-26

http://dx.doi.org/10.30501/jree.2020.106751

Abstract
  Drought is considered as a destructive disaster that can have irreversible effects on different aspects of life. In this study, artificial neural network was used as a powerful means of modeling nonlinear and indefinite processes in order to simulate drought intensities at 7 synoptic stations of Khorasan ...  Read More

Renewable Energy Resources and Technologies
2. Global Solar Radiation Prediction for Makurdi, Nigeria Using Feed Forward Backward Propagation Neural Network

Aondoyila Kuhe; Victor Terhemba Achirgbenda; Mascot Agada

Volume 5, Issue 1 , Winter 2018, , Pages 51-55

http://dx.doi.org/10.30501/jree.2018.88512

Abstract
  The optimum design of solar energy systems strongly depends on the accuracy of  solar radiation data. However, the availability of accurate solar radiation data is undermined by the high cost of measuring equipment or non-functional ones. This study developed a feed-forward backpropagation artificial ...  Read More

3. Estimating and modeling monthly mean daily global solar radiation on horizontal surfaces using artificial neural networks

Saeed Edalati; Mehran Ameri; Masoud Iranmanesh

Volume 2, Issue 1 , Winter 2015, , Pages 36-42

http://dx.doi.org/10.30501/jree.2015.70063

Abstract
  In this study, an artificial neural network based model for prediction of solar energy potential in Kerman province in Iran has been developed. Meteorological data of 12 cities for period of 17 years (1997–2013) and solar radiation for five cities around and inside Kerman province from the Iranian ...  Read More