Local Energy Trading Behavior Modeling With Deep Reinforcement Learning

Local Energy Trading Behavior Modeling With Deep Reinforcement Learning

In this paper, we model prosumers' energy trading behavior, with the operation of an energy storage system, in a proposed event-driven local energy market. Through modeling local energy trading strategies of a prosumer in the proposed holistic market model, the prosumer's decision-making p...

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Bibliographic Details
Main Authors: Tao Chen, Wencong Su
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Prosumer
energy trading
Markov decision process
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/8496766/

Internet

https://ieeexplore.ieee.org/document/8496766/

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