5 citations · 8 across the 4 of their papers we have counts for
3 papers · 1 filter
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting
Arman Ghasemi, Amin Shojaeighadikolaei, Morteza Hashemi
Renewable energy sources, such as wind and solar power, are increasingly being integrated into smart grid systems. However, when compared to traditional energy resources, the unpre…
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…
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…