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Awol Seid Ebrie

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2020 – today

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2024
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Awol Seid Ebrie, Chunhyun Paik, Yongjoo Chung, Young Jin Kim:
Deep contextual reinforcement learning algorithm for scalable power scheduling. Appl. Soft Comput. 167: 112243 (2024)
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Awol Seid Ebrie, Young Jin Kim:
pymops: A multi-agent simulation-based optimization package for power scheduling. Softw. Impacts 19: 100616 (2024)
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Awol Seid Ebrie, Young Jin Kim:
Reinforcement Learning-Based Multi-Objective Optimization for Generation Scheduling in Power Systems. Syst. 12(3): 106 (2024)
2022
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Awol Seid Ebrie, Young Jin Kim:
Investigating Market Diffusion of Electric Vehicles with Experimental Design of Agent-Based Modeling Simulation. Syst. 10(2): 28 (2022)

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