Multi-agent RL enables microgrids to learn profitable P2P bidding policies that increase renewable utilization and local economic welfare in simulations.
Multi-agent low-carbon optimal disp atch of regional integrated energy system based on mixed game theor y,
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.