3 papers
cs.MA2022★ 5 cited
Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework
Amin Shojaeighadikolaei, Arman Ghasemi, Kailani Jones +4
This paper presents a multi-agent Deep Reinforcement Learning (DRL) framework for autonomous control and integration of renewable energy resources into smart power grid systems. In…
eess.SY2020
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
Arman Ghasemi, Amin Shojaeighadikolaei, Kailani Jones +3
This paper presents a Reinforcement Learning (RL) based energy market for a prosumer dominated microgrid. The proposed market model facilitates a real-time and demanddependent dyna…
eess.SY2020
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones +3
Demand Response (DR) has a widely recognized potential for improving grid stability and reliability while reducing customers energy bills. However, the conventional DR techniques c…