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Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning.
Helder Pereira
Luis Gomes
Zita Vale
Published in:
Energy Inform. (2022)
Keyphrases
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reinforcement learning
multi agent
peer to peer
energy consumption
neural network
dynamic programming
total energy
action selection
energy saving
optimal control
function approximation
energy minimization
global optimization
markov decision processes
state space
cooperative
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