5 citations · 5 across the 6 of their papers we have counts for
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eess.SY2023
Generating synthetic power grids using exponential random graphs models
Francesco Giacomarra, Gianmarco Bet, Alessandro Zocca
Synthetic power grids enable secure, real-world energy system simulations and are crucial for algorithm testing, resilience assessment, and policy formulation. We propose a novel m…
cs.LG2023★ 5 cited
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
Recent challenges in operating power networks arise from increasing energy demands and unpredictable renewable sources like wind and solar. While reinforcement learning (RL) shows…