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/

Internet

https://ieeexplore.ieee.org/document/8826539/

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