Multi-Period and Multi-Spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach

Multi-Period and Multi-Spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach

Previously works on analysing imperfect electricity markets have employed conventional game-theoretic approaches. However, such approaches necessitate that each strategic market player has full knowledge of the operating parameters and the strategies of its rivals as well as the computational algori...

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Bibliographic Details
Main Authors:	Yujian Ye, Dawei Qiu, Jing Li, Goran Strbac
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Deep neural networks deep reinforcement learning electricity markets equilibrium programming imperfect competition multi-agent intelligence
Online Access:	https://ieeexplore.ieee.org/document/8826539/

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