Search Results - "Heo, SungKu"
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Optimal utility supply network under demand uncertainty for operational risk assessment on a petrochemical industrial park
Published in The Korean journal of chemical engineering (01-07-2020)“…A two-objective, two-stage mathematical model was developed considering demand uncertainty and operational risk assessment in constructing a utility supply…”
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Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning
Published in IEEE transactions on industrial informatics (01-10-2021)“…With the advent of the Industry 4.0 and the introduction of smart technologies in wastewater treatment plants (WWTP); forecasting influent loads is essential…”
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Membrane-informed multi-mechanistic predictive maintenance for MBR plants: Early determination of membrane cleaning with biologically driven, physically deposited, and chemically induced fouling model
Published in Desalination (28-01-2025)“…Membrane bioreactors (MBRs) are widely employed in wastewater treatment for their superior performance, though maintaining membrane efficiency remains costly…”
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AI-driven ventilation control policy proximal optimization coupled with dynamic-informed real-time model calibration for healthy and sustainable indoor PM2.5 management
Published in Energy and buildings (15-11-2024)“…[Display omitted] •IAQ model was developed with genetic algorithm-driven rolling horizon calibration.•Key variables for IAQ dynamics were identified by global…”
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Green hydrogen vs green ammonia: A hierarchical optimization-based integrated temporal approach for comparative techno-economic analysis of international supply chains
Published in Journal of cleaner production (01-08-2024)“…Recent global trends have increasingly focused on sustainable and green energy solutions,transitioning away from fossil fuels. Green hydrogen (GH) and green…”
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Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders
Published in Control engineering practice (01-04-2020)“…Indoor air quality (IAQ) measurements play an important role in the subway ventilation system control, influencing over crucial factors as ventilation energy…”
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Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health
Published in Environmental pollution (1987) (01-10-2019)“…Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which are of great concern due to their effects on human health…”
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Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (15-01-2023)“…[Display omitted] •XAI analysis clearly interpreted the most influencing variables on membrane fouling.•The MSF-ARI showed superior imputation and…”
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Real-scale demonstration of digital twins-based aeration control policy optimization in partial nitritation/Anammox process: Policy iterative dynamic programming approach
Published in Desalination (05-01-2025)“…Partial nitritation (PN) and anaerobic ammonium oxidation (Anammox) process is a promising energy-efficient nitrogen removal method in wastewater sector…”
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Development of deterministic-stochastic model to integrate variable renewable energy-driven electricity and large-scale utility networks: Towards decarbonization petrochemical industry
Published in Energy (Oxford) (01-01-2022)“…This paper aims to develop the mathematical model of electricity based on renewable energy and large-scale utility (eRELU) networks to achieve a low-carbon…”
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Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems
Published in Building and environment (01-09-2020)“…Missing data represents a common problem in environmental and building-related processes, especially in the indoor air quality (IAQ) system of subway stations,…”
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Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data
Published in Building and environment (01-09-2024)“…Indoor air quality (IAQ) in underground subway stations is an emerging concern regarding the health of passengers. Outdoor air quality (OAQ) is strongly…”
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A novel solar assisted multigeneration system devoid of external utilities for drought adaptation considering water-exergy nexus analysis
Published in Applied thermal engineering (05-11-2021)“…[Display omitted] •A sustainable solar multigeneration system was proposed to adapt to climate change.•Comparative thermodynamic, cost, risk, and environmental…”
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Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms
Published in Energy conversion and management (01-04-2019)“…[Display omitted] •A mathematical model of a self-sustaining energy system is designed.•Renewable forecasting models are developed by a hybrid EMD-DL…”
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An insight into nanocellulose as soft condensed matter: Challenge and future prospective toward environmental sustainability
Published in The Science of the total environment (10-02-2019)“…Nanocellulose, a structural polysaccharide that has caught tremendous interests nowadays due to its renewability, inherent biocompatibility and…”
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A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions
Published in Building and environment (15-10-2018)“…Within subway stations, the use of a mechanical ventilation system is a common strategy for improving the indoor air quality (IAQ). These ventilation systems…”
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A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station
Published in Energy and buildings (01-11-2019)“…•DRL was used to design an autonomous ventilation control system for a subway station.•A DQN algorithm was used to train an agent to regulate IAQ in a subway…”
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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
Published in Energy conversion and management (01-06-2018)“…[Display omitted] •A future hydrogen supply network is developed under uncertain demand conditions.•The costs and risk are optimized using an ɛ-constraint…”
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