Követés
Mohammad Mehdi Hosseini
Mohammad Mehdi Hosseini
Ph.D. in electrical and computer engineering from University of Utah
E-mail megerősítve itt: utah.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
Intelligent damage classification and estimation in power distribution poles using unmanned aerial vehicles and convolutional neural networks
MM Hosseini, A Umunnakwe, M Parvania, T Tasdizen
IEEE Transactions on Smart Grid 11 (4), 3325-3333, 2020
602020
Artificial intelligence for resilience enhancement of power distribution systems
MM Hosseini, M Parvania
The Electricity Journal 34 (1), 106880, 2021
372021
Resilient operation of distribution grids using deep reinforcement learning
MM Hosseini, M Parvania
IEEE Transactions on Industrial Informatics 18 (3), 2100-2109, 2021
352021
Quantifying impacts of automation on resilience of distribution systems
MM Hosseini, M Parvania
IET Smart Grid 3 (2), 144-152, 2020
322020
Automated switching operation for resilience enhancement of distribution systems
MM Hosseini, A Umunnakwe, M Parvania
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
182019
Toward self‐financed distribution automation development: time allocation of automatic switches installation in electricity distribution systems
A Fereidunian, MM Hosseini, M Abbasi Talabari
IET Generation, Transmission & Distribution 11 (13), 3350-3358, 2017
182017
Hierarchical combination of deep reinforcement learning and quadratic programming for distribution system restoration
MM Hosseini, L Rodriguez-Garcia, M Parvania
IEEE Transactions on Sustainable Energy 14 (2), 1088-1098, 2023
92023
Hierarchical intelligent operation of energy storage systems in power distribution grids
MM Hosseini, M Parvania
IEEE Transactions on Sustainable Energy 14 (2), 741-750, 2022
92022
Resilience analytics for interdependent power and water distribution systems
L Rodriguez-Garcia, MM Hosseini, TM Mosier, M Parvania
IEEE Transactions on Power Systems 37 (6), 4244-4257, 2022
82022
On the feasibility guarantees of deep reinforcement learning solutions for distribution system operation
MM Hosseini, M Parvania
IEEE Transactions on Smart Grid 14 (2), 954-964, 2023
72023
Computationally efficient formulations for fault isolation and service restoration in distribution systems
MM Hosseini, M Parvania
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
72020
Real-time coordinated operation of power and autonomous electric ride-hailing systems
A Bagherinezhad, MM Hosseini, M Parvania
IEEE Transactions on Smart Grid 14 (3), 2214-2225, 2023
52023
Policy-driven planning of distribution automation, using mixed integer non-linear programming
MM Hosseini, A Fereidunian, SMT Bathaee
2014 19th Conference on Electrical Power Distribution Networks (EPDC), 1-6, 2014
52014
Optimal defensive strategy for power distribution systems against relay setting attacks
M Ganjkhani, MM Hosseini, M Parvania
IEEE Transactions on Power Delivery, 2022
42022
On the verification of deep reinforcement learning solution for intelligent operation of distribution grids
MM Hosseini, M Parvania
32022
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
C Yeh, V Li, R Datta, J Arroyo, N Christianson, C Zhang, Y Chen, ...
Advances in Neural Information Processing Systems 36, 2024
12024
Hierarchical flexibility offering strategy for integrated hybrid resources in real-time energy markets
M Majidi, MM Hosseini, M Parvania
12023
Intelligent Hierarchical Resilient Operation of Distribution Systems: Implementation and Validation in a Power Hardware-in-the-Loop Simulation Testbed
M Ganjkhani, L Rodriguez-Garcia, M Majidi, H Belnap, MM Hosseini, ...
2024 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2024
2024
Hierarchical combination of artificial intelligence and optimization for the operation of power systems
M Parvania, MM Hosseini, LFR Garcia, A Bagherinezhad
US Patent App. 18/078,267, 2024
2024
Real-time coordinated operation of power and electric ride systems
M Parvania, MM Hosseini, A Bagherinezhad
US Patent App. 18/075,680, 2024
2024
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