Multi-agent RL enables microgrids to learn profitable P2P bidding policies that increase renewable utilization and local economic welfare in simulations.
Paris agreement,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
Multi-agent RL enables microgrids to learn profitable P2P bidding policies that increase renewable utilization and local economic welfare in simulations.