A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. - Arman Ghasemi; Amin Shojaeighadikolaei; Kailani R. Jones; Morteza Hashemi; Alexandru G. Bardas; Reza Ahmadi (SmartGridComm, 2020)

Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning. - Amin Shojaeighadikolaei; Arman Ghasemi; Kailani R. Jones; Alexandru G. Bardas; Morteza Hashemi; Reza Ahmadi (CoRR, 2020)

Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework. - Amin Shojaeighadikolaei; Arman Ghasemi; Kailani R. Jones; Yousif Dafalla; Alexandru G. Bardas; Reza Ahmadi; Morteza Hashemi (CoRR, 2022)

An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control. - Amin Shojaeighadikolaei; Morteza Hashemi (Allerton, 2023)

Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting. - Arman Ghasemi; Amin Shojaeighadikolaei; Morteza Hashemi (CoRR, 2023)

Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks. - Amin Shojaeighadikolaei; Zsolt Talata; Morteza Hashemi (CoRR, 2024)

Combating Uncertainties in Smart Grid Decision Networks: Multiagent Reinforcement Learning With Imperfect State Information. - Arman Ghasemi; Amin Shojaeighadikolaei; Morteza Hashemi (IEEE Internet Things J., 2024)