| 1 |
A comprehensive evaluation of the wind resource characteristics to investigate the short term penetration of regional wind power based on different probability statistical methods
Nedaei M, Assareh E, Walsh PR
Renewable Energy, 128, 362, 2018 |
| 2 |
An extensive evaluation of wind resource using new methods and strategies for development and utilizing wind power in Mah-shahr station in Iran
Nedaei M, Assareh E, Biglari M
Energy Conversion and Management, 81, 475, 2014 |
| 3 |
An Analysis of Wind Speed Prediction Using Artificial Neural Networks: A Case Study in Manjil, Iran
Assareh E, Behrang MA, Ghalambaz M, Noghrehabadi AR, Ghanbarzadeh A
Energy Sources Part A-recovery Utilization and Environmental Effects, 34(5-8), 636, 2012 |
| 4 |
New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique
Behrang MA, Assareh E, Noghrehabadi AR, Ghanbarzadeh A
Energy, 36(5), 3036, 2011 |
| 5 |
Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm)
Behrang MA, Assareh E, Ghalambaz M, Assari MR, Noghrehabadi AR
Energy, 36(9), 5649, 2011 |
| 6 |
Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission
Behrang MA, Assareh E, Assari MR, Ghanbarzadeh A
Energy Sources Part A-recovery Utilization and Environmental Effects, 33(19), 1747, 2011 |
| 7 |
Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran
Assareh E, Behrang MA, Assari MR, Ghanbarzadeh A
Energy, 35(12), 5223, 2010 |
| 8 |
The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
Behrang MA, Assareh E, Ghanbarzadeh A, Noghrehabadi AR
Solar Energy, 84(8), 1468, 2010 |
