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Arman Ghasemi
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Journal Articles
- 2024
- [j1]Arman Ghasemi, Amin Shojaeighadikolaei, Morteza Hashemi:
Combating Uncertainties in Smart Grid Decision Networks: Multiagent Reinforcement Learning With Imperfect State Information. IEEE Internet Things J. 11(13): 23985-23997 (2024)
Conference and Workshop Papers
- 2023
- [c2]Arman Ghasemi, Morteza Hashemi:
Harnessing the Power of Transformer Learning with Long-Term Memory for Renewable Energy Forecasting. VCC 2023: 171-176 - 2020
- [c1]Arman Ghasemi, Amin Shojaeighadikolaei, Kailani R. Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi:
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. SmartGridComm 2020: 1-6
Informal and Other Publications
- 2023
- [i4]Arman Ghasemi, Amin Shojaeighadikolaei, Morteza Hashemi:
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting. CoRR abs/2302.14094 (2023) - 2022
- [i3]Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Yousif Dafalla, Alexandru G. Bardas, Reza Ahmadi, Morteza Hashemi:
Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework. CoRR abs/2211.15858 (2022) - 2020
- [i2]Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Alexandru G. Bardas, Morteza Hashemi, Reza Ahmadi:
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning. CoRR abs/2009.10890 (2020) - [i1]Arman Ghasemi, Amin Shojaeighadikolaei, Kailani R. Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi:
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. CoRR abs/2009.10905 (2020)
Coauthor Index
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