| 1 |
Energy consumption forecasting in agriculture by artificial intelligence and mathematical models
Bolandnazar E, Rohani A, Taki M
Energy Sources Part A-recovery Utilization and Environmental Effects, 42(13), 1618, 2020 |
| 2 |
Retrofit of a steam power plant using the adaptive neuro-fuzzy inference system in response to the load variation
Sayyaadi H, Baghsheikhi M
Energy, 175, 1164, 2019 |
| 3 |
Online prediction of biomass moisture content in a fluidized bed dryer using electrostatic sensor arrays and the Random Forest method
Zhang WB, Cheng XF, Hu YH, Yan Y
Fuel, 239, 437, 2019 |
| 4 |
Multi-objective exergetic and technical optimization of a piezoelectric ultrasonic reactor applied to synthesize biodiesel from waste cooking oil (WCO) using soft computing techniques
Aghbashlo M, Hosseinpour S, Tabatabaei M, Soufiyan MM
Fuel, 235, 100, 2019 |
| 5 |
Development of a 3D Hybrid Intelligent-Mechanistic Model for Simulation of Multiphase Chemical Reactors
Rezakazemi M, Shirazian S
Chemical Engineering & Technology, 41(10), 1982, 2018 |
| 6 |
Determination of the gas hydrate formation limits to isenthalpic Joule-Thomson expansions
Yarveicy H, Ghiasi MM, Mohammadi AH
Chemical Engineering Research & Design, 132, 208, 2018 |
| 7 |
Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems
Sayyaadi H, Baghsheikhi M
Energy, 164, 218, 2018 |
| 8 |
Characterizing CO2 capture with aqueous solutions of LysK and the mixture of MAPA plus DEEA using soft computing methods
Soleimani R, Abooali D, Shoushtari NA
Energy, 164, 664, 2018 |
| 9 |
Accurate predicting the viscosity of biodiesels and blends using soft computing models
Aminian A, ZareNezhad B
Renewable Energy, 120, 488, 2018 |
| 10 |
Comparison of prediction methods of photovoltaic power system production using a measured dataset
Kazem HA, Yousif JH
Energy Conversion and Management, 148, 1070, 2017 |
