| Intelligent energy management and multi-objective power distribution control in hybrid micro-grids based on the advanced fuzzy-PSO method R Sepehrzad, AR Moridi, ME Hassanzadeh, AR Seifi ISA transactions 112, 199-213, 2021 | 65 | 2021 |
| Optimal energy management of distributed generation in micro-grid to control the voltage and frequency based on PSO-adaptive virtual impedance method R Sepehrzad, MK Rahimi, A Al-Durra, M Allahbakhshi, A Moridi Electric Power Systems Research 208, 107881, 2022 | 48 | 2022 |
| An efficient multilevel interconnect control algorithm in AC/DC micro-grids using hybrid energy storage system R Sepehrzad, ME Hassanzadeh, AR Seifi, M Mazinani Electric Power Systems Research 191, 106869, 2021 | 41 | 2021 |
| Intelligent hierarchical energy and power management to control the voltage and frequency of micro-grids based on power uncertainties and communication latency R Sepehrzad, A Mahmoodi, SY Ghalebi, AR Moridi, AR Seifi Electric Power Systems Research 202, 107567, 2022 | 40 | 2022 |
| Islanded micro-grid frequency control based on the optimal-intelligent lyapunov algorithm considering power dynamic and communication uncertainties R Sepehrzad, S Nakhaeisharif, A Al-Durra, M Allahbakhshi, A Moridi Electric Power Systems Research 208, 107917, 2022 | 28 | 2022 |
| Two-Stage experimental intelligent dynamic energy management of microgrid in smart cities based on demand response programs and energy storage system participation R Sepehrzad, A Hedayatnia, M Amohadi, J Ghafourian, A Al-Durra, ... International Journal of Electrical Power & Energy Systems 155, 109613, 2024 | 26 | 2024 |
| Data-Driven hierarchical energy management in multi-integrated energy systems considering integrated demand response programs and energy storage system participation based on … A Khodadadi, S Adinehpour, R Sepehrzad, A Al-Durra, ... Sustainable Cities and Society 103, 105264, 2024 | 20 | 2024 |
| Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control R Sepehrzad, J Ghafourian, A Hedayatnia, A Al-Durrad, MH Khooban Journal of Energy Storage 74, 109282, 2023 | 19 | 2023 |
| Hierarchical optimal allocation of BESS using APT-FPSO based on stochastic programming model considering voltage sensitivity and eigenvalues analyses ME Hassanzadeh, M Nayeripour, S Hasanvand, R Sepehrzad International Journal of Electrical Power & Energy Systems 153, 109291, 2023 | 16 | 2023 |
| The demand side management program considering AC/DC hybrid distribution system concept based on the energy hub RG Jahromi, AR Seifi 2016 24th Iranian Conference on Electrical Engineering (ICEE), 384-388, 2016 | 16 | 2016 |
| An applied deep reinforcement learning approach to control active networked microgrids in smart cities with multi-level participation of battery energy storage system and … R Sepehrzad, ASG Langeroudi, A Khodadadi, S Adinehpour, A Al-Durra, ... Sustainable Cities and Society 107, 105352, 2024 | 15 | 2024 |
| Energy management and optimal multi-objective power control in ac/dc micro-grid using hybrid energy storage system R Sepehrzad, AR Moridi, ME Hassanzadeh, AR Seifi ISA Transactions 112 (1), 2020 | 5 | 2020 |
| Two-Stage Data-Driven optimal energy management and dynamic Real-Time operation in networked microgrid based deep reinforcement learning approach A Hedayatnia, J Ghafourian, R Sepehrzad, A Al-Durrad, ... International Journal of Electrical Power & Energy Systems 160, 110142, 2024 | 4 | 2024 |
| A multi-agent deep reinforcement learning paradigm to improve the robustness and resilience of grid connected electric vehicle charging stations against the destructive effects … R Sepehrzad, A Khodadadi, S Adinehpour, M Karimi Energy 307, 132669, 2024 | 2 | 2024 |
| Enhancing Cyber-Resilience in Electric Vehicle Charging Stations: A Multi-Agent Deep Reinforcement Learning Approach R Sepehrzad, MJ Faraji, A Al-Durra, MS Sadabadi IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
| Multilevel energy management and optimal control system in smart cities based on deep machine learning S Reza, H Atefeh, G Javid Applications of Deep Machine Learning in Future Energy Systems, 265-314, 2024 | 1 | 2024 |
Ahmed Al-DurraAssociate Provost for Research & Professor, Khalifa University of Science & TechnologyBestätigte E-Mail-Adresse bei ku.ac.ae
