Optimal utility supply network under demand uncertainty for operational risk assessment on a petrochemical industrial park von Vilela, Paulina, Park, SungKu Heo, Hwangbo, Soonho, Yoo, ChangKyoo

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A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea von Nam, KiJeon, Hwangbo, Soonho, Yoo, ChangKyoo

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Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation von Hwangbo, Soonho, Sin, Gürkan

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Integrated Model for Understanding N2O Emissions from Wastewater Treatment Plants: A Deep Learning Approach von Hwangbo, Soonho, Al, Resul, Chen, Xueming, Sin, Gürkan

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An integrated framework for plant data-driven process modeling using deep-learning with Monte-Carlo simulations von Hwangbo, Soonho, Al, Resul, Sin, Gürkan

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Optimal network design of hydrogen production by integrated utility and biogas supply networks von Hwangbo, Soonho, Lee, Seungchul, Yoo, Changkyoo

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A deep-learning framework for forecasting renewable demands using variational auto-encoder and bidirectional long short-term memory von Kim, Taehyun, Lee, Dongmin, Hwangbo, Soonho

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Mathematical model to optimize design of integrated utility supply network and future global hydrogen supply network under demand uncertainty von Hwangbo, Soonho, Lee, In-Beum, Han, Jeehoon

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Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks von Li, Qian, Loy-Benitez, Jorge, Nam, KiJeon, Hwangbo, Soonho, Rashidi, Jouan, Yoo, ChangKyoo

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Transitioning of localized renewable energy system towards sustainable hydrogen development planning: P-graph approach von Lim, Juin Yau, How, Bing Shen, Rhee, Gahee, Hwangbo, Soonho, Yoo, Chang Kyoo

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Integrated Model for Understanding N 2 O Emissions from Wastewater Treatment Plants: A Deep Learning Approach von Hwangbo, Soonho, Al, Resul, Chen, Xueming, Sin, Gürkan

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Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in pet... von Heo, SungKu, Byun, Jaewon, Ifaei, Pouya, Ko, Jaerak, Ha, Byeongmin, Hwangbo, Soonho, Yoo, ChangKyoo

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Network modeling of future hydrogen production by combining conventional steam methane reforming and a cascade of waste biogas treatment processes under uncertain demand conditions von Hwangbo, Soonho, Heo, SungKu, Yoo, Changkyoo

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Development of an integrated network for waste-to-energy and central utility systems considering air pollutant emissions pinch analysis von Hwangbo, Soonho, Sin, Gürkan, Rhee, Gahee, Yoo, ChangKyoo

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Multi-period stochastic mathematical model for the optimal design of integrated utility and hydrogen supply network under uncertainty in raw material prices von Hwangbo, Soonho, Lee, In-Beum, Han, Jeehoon

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다매체거동모델을 이용한 대도시 자동차 배출 Polycyclic Aromatic Hydrocarbons (PAHs) 거동 해석 및 영향평가 von 이가희, Gahee Rhee, 황보순호, Soonho Hwangbo, 유창규, Changkyoo Yoo

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Environmentally-viable utilization of chicken litter as energy recovery and electrode production: A machine learning approach von Lee, Seonho, Kim, Jiwon, Byun, Jaewon, Joo, Junghee, Lee, Yoonjae, Kim, Taehyun, Hwangbo, Soonho, Han, Jeehoon, Kim, Sung-Kon, Lee, Jechan

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Environmentally Friendly Process Design for Furan-based Long-chain Diesters Production Aiming for Bio-based Lubricant von Lee, Hye Jin, Lee, Yoonjae, Yang, Eun-hyeok, Yoo, Jiyun, Choi, Seungjun, Hwangbo, Soonho, Suh, Young-Woong, Baek, Jayeon, Han, Jeehoon, Kim, Yong Jin

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Experimental methods in chemical engineering: Monte Carlo von Pahija, Ergys, Hwangbo, Soonho, Saulnier‐Bellemare, Thomas, Patience, Gregory S.

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Integrated hydrogen supply networks for waste biogas upgrading and hybrid carbon-hydrogen pinch analysis under hydrogen demand uncertainty von Hwangbo, Soonho, Nam, KiJeon, Han, Jeehoon, Lee, In-Beum, Yoo, ChangKyoo

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