Tunable Multi-Agent Reinforcement Learning for Peer-to-Peer Residential Energy Trading
Ongoing
Tunable Multi-Agent Reinforcement Learning for Peer-to-Peer Residential Energy Trading that allows buildings connected in an energy network to buy/sell energy to/from one another.
Project Insights
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€83,581
Total Project Costs -
3 yr
Project Duration -
2022
Year Funded
Project Description
This work proposes an Artificial Intelligence managed Peer-to-peer energy trading network to increase renewable utilization. A simulator will be developed, Multi-Agent Reinforcement Learning will be implemented, and game theory will be utilized to study the energy trading behaviour. This research will conclude by investigating the impact of different levels of renewable penetration on P2P energy networks in terms of peak reduction, cost savings and renewable utilization.Project Details
Total Project Cost: €83,581
Funding Agency: Irish Research Council (IRC)
Year Funded: 2022
Lead Organisation: University of Galway
