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Neural network models for atmospheric residue desulfurization using real plant data with novel training strategies
by
Jung, Yungun
,
Kim, Hyungjun
,
Jeon, Gyeonggwan
,
Kim, Yeonsoo
Published in
Computers & chemical engineering
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Proximal policy optimization through a deep reinforcement learning framework for remedial action schemes of VSC-HVDC
by
Song, Sungyoon
,
Jung, Yungun
,
Jang, Gilsoo
,
Jung, Seungmin
Published in
International journal of electrical power & energy systems
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Neural network model for atmospheric residue desulfurization conversion prediction using real plant data
by
Jung, Yungun
,
Kim, Hyungjun
,
Jeon, Gyeonggwan
,
Kim, Yeonsoo
Published in
IFAC-PapersOnLine
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Computers & Chemical Engineering
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Ifac-Papersonline
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International Journal Of Electrical Power & Energy Systems
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Science & Technology
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Technology
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Desulfurization
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Engineering
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Neural Network
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Artificial Intelligence
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Atmospheric Residue
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Automation & Control Systems
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Catalyst Aging
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Computer Science
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Computer Science, Interdisciplinary Applications
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Conversion Prediction
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Energy Management System
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Engineering, Chemical
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Engineering, Electrical & Electronic
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Proximal Policy Optimization
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Receding Horizon
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Remedial Action Schemes
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Vsc-Hvdc
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Elsevier Sciencedirect Journals
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Sciencedirect Freedom Collection 2022-2024
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Science Citation Index Expanded (Web Of Science)
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Bacon - Elsevier - Global Sciencedirect-Openaccess
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Doaj Directory Of Open Access Journals
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Backfile Package - Energy And Power [Yer]
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Backfile Package - Computer Science (Legacy) [Ycs]
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Backfile Package - Chemical Engineering (Legacy) [Ycc]
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Backfile Package - Engineering And Technology [Yen]
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