no code implementations • 30 Oct 2023 • 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.
no code implementations • 4 Oct 2023 • 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.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 17 Jul 2023 • Maldon Patrice Goodridge, Subhash Lakshminarayana, Alessandro Zocca
In this work, we aim to uncover spatiotemporal characteristics of LAAs that can lead to serious impact.
no code implementations • 28 Jul 2022 • Viktor Zobernig, Richard A. Saldanha, Jinke He, Erica van der Sar, Jasper van Doorn, Jia-Chen Hua, Lachlan R. Mason, Aleksander Czechowski, Drago Indjic, Tomasz Kosmala, Alessandro Zocca, Sandjai Bhulai, Jorge Montalvo Arvizu, Claude Klöckl, John Moriarty
The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decision problems.
no code implementations • 12 May 2022 • Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
Transmission power systems usually consist of interconnected sub-grids that are operated relatively independently.
no code implementations • 22 May 2020 • Chen Liang, Linqi Guo, Alessandro Zocca, Steven H. Low, Adam Wierman
Transmission line failures in power systems propagate and cascade non-locally.
no code implementations • 22 May 2020 • Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
Transmission line failure in power systems prop-agate non-locally, making the control of the resulting outages extremely difficult.
no code implementations • 20 May 2020 • Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
Transmission line failures in power systems propagate non-locally, making the control of the resulting outages extremely difficult.