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Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time
Linear approximations of the AC power flow equations are of great significance for the computational efficiency of large-scale optimal power flow (OPF) problems.
GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management
Increasing amounts of distributed generation in distribution networks can provide both challenges and opportunities for voltage regulation across the network.
Improving the Scalability of a Prosumer Cooperative Game with K-Means Clustering
Among the various market structures under peer-to-peer energy sharing, one model based on cooperative game theory provides clear incentives for prosumers to collaboratively schedule their energy resources.
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