| A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea KJ Nam, S Hwangbo, CK Yoo Renewable and Sustainable Energy Reviews 122, 109725, 2020 | 211 | 2020 |
| Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks Q Li, J Loy-Benitez, KJ Nam, S Hwangbo, J Rashidi, CK Yoo Energy 178, 277-292, 2019 | 91 | 2019 |
| Integrated Model for Understanding N2O Emissions from Wastewater Treatment Plants: A Deep Learning Approach S Hwangbo, R Al, X Chen, G Sin Environmental science & technology 55 (3), 2143-2151, 2021 | 69 | 2021 |
| Mathematical model to optimize design of integrated utility supply network and future global hydrogen supply network under demand uncertainty S Hwangbo, IB Lee, J Han Applied Energy 195, 257-267, 2017 | 58 | 2017 |
| Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms S Hwangbo, KJ Nam, SK Heo, CK Yoo Energy Conversion and Management 185, 353-367, 2019 | 54 | 2019 |
| Transitioning of localized renewable energy system towards sustainable hydrogen development planning: P-graph approach JY Lim, BS How, G Rhee, S Hwangbo, CK Yoo Applied Energy 263, 114635, 2020 | 37 | 2020 |
| Gain scheduling based ventilation control with varying periodic indoor air quality (IAQ) dynamics for healthy IAQ and energy savings S Lee, S Hwangbo, JT Kim, CK Yoo Energy and Buildings 153, 275-286, 2017 | 37 | 2017 |
| Optimal network design of hydrogen production by integrated utility and biogas supply networks S Hwangbo, S Lee, C Yoo Applied energy 208, 195-209, 2017 | 28 | 2017 |
| Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation S Hwangbo, G Sin Computers & Chemical Engineering, 106910, 2020 | 27 | 2020 |
| An integrated framework for plant data-driven process modeling using deep-learning with Monte-Carlo simulations S Hwangbo, R Al, G Sin Computers & Chemical Engineering 143, 107071, 2020 | 26 | 2020 |
| Integrated hydrogen supply networks for waste biogas upgrading and hybrid carbon-hydrogen pinch analysis under hydrogen demand uncertainty S Hwangbo, KJ Nam, J Han, IB Lee, CK Yoo Applied Thermal Engineering 140, 386-397, 2018 | 22 | 2018 |
| Development of deterministic-stochastic model to integrate variable renewable energy-driven electricity and large-scale utility networks: Towards decarbonization petrochemical … S Hwangbo, SK Heo, CK Yoo Energy 238, 122006, 2022 | 19 | 2022 |
| Evaluation of an integrated microalgae-based biorefinery process and energy-recovery system from livestock manure using a superstructure model G Rhee, JY Lim, S Hwangbo, CK Yoo Journal of Cleaner Production 293, 125325, 2021 | 18 | 2021 |
| Development of an integrated network for waste-to-energy and central utility systems considering air pollutant emissions pinch analysis S Hwangbo, G Sin, G Rhee, CK Yoo Journal of cleaner production 252, 119746, 2020 | 17 | 2020 |
| A systematic approach of removal mechanisms, control and optimization of silver nanoparticle in wastewater treatment plants P Vilela, H Liu, SC Lee, S Hwangbo, KJ Nam, CK Yoo Science of the Total Environment 633, 989-998, 2018 | 17 | 2018 |
| Bioengineered Co-culture of organoids to recapitulate host-microbe interactions MB Kim, S Hwangbo, S Jang, YK Jo Materials Today Bio 16, 100345, 2022 | 16 | 2022 |
| Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy Y Lee, B Ha, S Hwangbo Renewable Energy 200, 69-87, 2022 | 16 | 2022 |
| Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy SK Heo, J Ko, SY Kim, C Jeong, S Hwangbo, CK Yoo Journal of Cleaner Production 379, 134793, 2022 | 15 | 2022 |
| Network modeling of future hydrogen production by combining conventional steam methane reforming and a cascade of waste biogas treatment processes under uncertain demand conditions S Hwangbo, SK Heo, C Yoo Energy Conversion and Management 165, 316-333, 2018 | 14 | 2018 |
| Multi-period stochastic mathematical model for the optimal design of integrated utility and hydrogen supply network under uncertainty in raw material prices S Hwangbo, IB Lee, J Han Energy 114, 418-430, 2016 | 14 | 2016 |
ChangKyoo YooKyungHee University在 khu.ac.kr 的电子邮件经过验证
