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The Power Tower is a 20-meter-tall solar array system designed to provide over 10 kilowatts of power for Moon Base operations at the lunar South Pole, with a modular architecture supporting future expansion.
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.
Microsoft open-sourced GridSFM, an AI foundation model for power systems. It uses graph neural networks to approximate AC-OPF solving, is topology-agnostic, and can serve as a warm start for exact solvers achieving a 1.45x speedup, while also providing feasibility classification capabilities.