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Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems
The rapidly changing architecture and functionality of electrical networks and the increasing penetration of renewable and distributed energy resources have resulted in various technological and managerial challenges.
Datasets of Great Britain Primary Substations Integrated with Household Heating Information
The parent GSP information helps link the dataset of distribution networks to datasets of transmission networks.
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