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The article explains virtual power plants, which are networks of smart home devices controlled by utilities to manage electricity demand, and provides guidance on how to sign up for such programs to save on energy bills.
This paper proposes a Supervised Reinforcement Learning (SRL) framework for coordinating distributed energy resources, pre-training on demonstration data and fine-tuning with RL to improve sample efficiency and performance.
OpenG2G is a new open-source simulation platform for coordinating AI datacenter workloads with electricity grid demands, designed to help manage power flexibility and reduce interconnection delays.