Publications

Integrating Fusion Autoencoder with Multi-Agent Reinforcement Learning for Optimal Energy Dispatch Under Uncertainties
Energy hub concept has been applied to energy management systems to enhance system flexibility. However, energy management studies face …
Abdulrahman H Ba-Alawi, SangYoun Kim, Hanaa Aamer, SungKu Heo, ChangKyoo Yoo
Posted Jul 13, 2024
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Multi-agent reinforcement learning-enhanced autonomous calibration method for wastewater treatment modeling: Long-term validation of a full-scale plant
Wastewater modeling using an activated sludge model (ASM) has been used in water industries but is still known as the difficult and …
KiJeon Nam, SungKu Heo, Shahzeb Tariq, TaeYong Woo, ChangKyoo Yoo
Posted Mar 1, 2024
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AI-driven Autonomous Operation and Predictive Maintenance in Environmental Process Systems towards Water Sector Decarbonization
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SungKu Heo
Posted Feb 1, 2024
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Interpretable attention-based multi-encoder transformer based QSPR model for assessing toxicity and environmental impact of chemicals
The rising demand from consumer goods and pharmaceutical industry is driving a fast expansion of newly developed chemicals. The …
SangYoun Kim, Shahzeb Tariq, SungKu Heo, ChangKyoo Yoo
Posted Feb 1, 2024
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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 petrochemical industry
In alignment with climate change mitigation plans, renewable and sustainable energy integration into the industrial sector should be …
SungKu Heo, Jaewon Byun, Pouya Ifaei, Jaerak Ko, Byeongmin Ha, Soonho Hwangbo, ChangKyoo Yoo
Posted Jan 1, 2024
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3D 프린팅 소재 화학물질의 독성 예측을 위한 Data-centric XAI 기반 분자 구조 Data Imputation 과 QSAR 모델 개발
3D 프린터의 활용이 높아짐에 따라 발생하는 화학물질에 대한 노출 빈도가 증가하고 있다. 그러나 3D 프린팅 발생화학물질의 독성 및 유해성에 대한 연구는 미비하며, 분자 구조 데이터의 결측치로 인해 in silico 기법을 사용한 독성예측 연 …
정찬혁， 김상윤， 허성구， 신민혁， 유창규
Posted Nov 1, 2023
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Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach
Jeju Island faces curtailment problems when renewable energy generation exceeds the facility capacity. In addition, the renewable …
SangYoun Kim, SungKu Heo, KiJeon Nam, TaeYong Woo, ChangKyoo Yoo
Posted Nov 1, 2023
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Sludge bulking monitoring in industrial wastewater treatment plants through graphical methods: A dynamic graph embedding and Bayesian networks approach
Sludge bulking is a prevalent issue in wastewater treatment plants (WWTPs) that negatively impacts effluent quality by hindering the …
Jorge Loy-Benitez, Shahzeb Tariq, Hai-Tra Nguyen, SungKu Heo, ChangKyoo Yoo
Posted Nov 1, 2023
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Smart solutions for clean air: An AI-guided approach to sustainable industrial pollution control in coal-fired power plant
Conventional fossil fuels are relied on heavily to meet the ever-increasing demand for energy required by human activities. However, …
Juin Yau Lim, Sin Yong Teng, Bing Shen How, Adrian Chun Minh Loy, SungKu Heo, Jeroen Jansen, Pau Loke Show, Chang Kyoo Yoo
Posted Oct 15, 2023
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Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI
Monitoring total nitrogen (TN) and total phosphorus (TP) concentrations in rivers is essential to assess the water quality and control …
Abdulrahman H Ba-Alawi, SungKu Heo, Hanaa Aamer, Roberto Chang, TaeYong Woo, MinHan Kim, ChangKyoo Yoo
Posted Jul 1, 2023
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