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Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
To integrate high amounts of renewable energy resources, electrical power grids must be able to cope with high amplitude, fast …
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
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(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment
Insufficient Social Cost of Carbon (SCC) estimation methods and short-term decision-making horizons have hindered the ability of carbon …
Yoshua Bengio, Prateek Gupta, Dylan Radovic, Maarten Scholl, Andrew Williams, Christian Schroeder de Witt, Tianyu Zhang, Yang Zhang
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Multi-agent reinforcement learning for renewable integration in the electric power grid
As part of the fight against climate change, the electric power system is transitioning from fuel-burning generators to renewable …
Vincent Mai, Tianyu Zhang, Antoine Lesage-Landry
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