5 citations · 8 across the 4 of their papers we have counts for
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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…