Reinforcement Learning Applied to Multi Agent Modelling, the Case of the Iranian Power Market

Reinforcement Learning Applied to Multi Agent Modelling, the Case of the Iranian Power Market

With increasing competition in the wholesale Electricity markets and advances in behavioral economics in recent years, the multi-agent modeling approach has been applied widely to simulate the outcome of the markets. The electricity market consists of power generating agents that compete over produc...

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Bibliographic Details
Main Authors:	Mohammadreza Asghari Oskoei, Farhad Fallahi, Meysam Doostizadeh, saeed Moshiri
Format:	Article
Language:	fas
Published:	Allameh Tabataba'i University Press 2018-01-01
Series:	Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān
Subjects:	agent based model electricity market reinforcement learning game theory iran
Online Access:	http://jiee.atu.ac.ir/article_9993_12cc07b387a584e06b813671b051b95f.pdf

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