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eess.SY2024
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis
Hong Zhao, Jin Wei-Kocsis, Adel Heidari Akhijahani +1
Driven by advancements in sensing and computing, deep reinforcement learning (DRL)-based methods have demonstrated significant potential in effectively tackling distribution system…
eess.SY2021
Islanded Microgrid Restoration Studies with Graph-Based Analysis
Ogbonnaya Bassey, Karen L. Butler-Purry
The need to restore and keep the grid running or fast restoration during emergencies such as extreme weather conditions is quite apparent given the reliance of other infrastructure…