Massively digitized power grid: opportunities and challenges of use-inspired AI
This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …
massively digitized power grid. It argues that the intricate interplay of data availability …
Development of Deep Reinforcement Learning Co-Simulation Platforms for Power System Control
This paper introduces four co-simulation platforms for testing deep reinforcement learning
(DRL)-based control solutions in power systems. The first one is to connect the off-the-shelf …
(DRL)-based control solutions in power systems. The first one is to connect the off-the-shelf …
Online multi-agent deep reinforcement learning platform for distributed real-time dynamic control of power systems
In recent years, multi-agent deep reinforcement learning (MADRL) has made significant
strides in power system decision-making and control. However, there is a scarcity of high …
strides in power system decision-making and control. However, there is a scarcity of high …