| Machine learning and deep learning in energy systems: A review MM Forootan, I Larki, R Zahedi, A Ahmadi Sustainability 14 (8), 4832, 2022 | 111 | 2022 |
| Mitigation approaches and techniques for combustion power plants flue gas emissions: A comprehensive review I Larki, A Zahedi, M Asadi, MM Forootan, M Farajollahi, R Ahmadi, ... Science of The Total Environment, 166108, 2023 | 18 | 2023 |
| Machine learning and deep learning in energy systems: a review. Sustainability 14 (8): 4832 MM Forootan, I Larki, R Zahedi, A Ahmadi | 6 | 2022 |
| Long-Term Scenario Analysis of Electricity Supply and Demand in Iran: Time Series Analysis, Renewable Electricity Development, Energy Efficiency and Conservation M Asadi, I Larki, MM Forootan, R Ahmadi, M Farajollahi Sustainability 15 (5), 4618, 2023 | 4 | 2023 |
| Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf … MM Forootan, A Ahmadi Renewable and Sustainable Energy Reviews 200, 114616, 2024 | | 2024 |
| Thermodynamic assessment and optimization of a solar-thermal natural gas-driven polygeneration system: energy, exergy and exergoeconomic analysis MM Forootan, M Asadi, A Ahmadi, R Ahmadi 2024 9th International Conference on Technology and Energy Management (ICTEM), 2024 | | 2024 |
| Machine learning-based optimization of an integrated solar-thermal power/hydrogen production system using grey wolf optimizer and artificial neural network MM Forootan, S Akbari, M Mortazavi The World Energy Storage Conference (WESC)-2023, 2023 | | 2023 |
Iman LarkiMaster's Graduate at Iran University of Science and Technology在 nt.iust.ac.ir 的电子邮件经过验证
