LAB NOTICE
- [VSI:Advanced Engineering Informatics] Application of Large Language Models in Energy Engineering and Informatics
- [VSI:Advanced Engineering Informatics]Application of Large Language Models in Energy Engineering and Informatics Journal : Advanced Engineering Informaticshttps://www.sciencedirect.com/special-issue/327343/application-of-large-language-models-in-energy-engineering-and-informatics Application of Large Language Models in Energy Engineering and InformaticsSubmission deadline: 31 July 2026Large language modeling (LLM), as one of the hottest research areas in artificial intelligence (AI), has demonstrated its powerful impact in many research areas. With the rapid advancements in LLMs, their applications have extended well beyond natural language processing into diverse scientific and engineering domains. In the context of modern energy systems, LLMs offer exciting new opportunities to address long-standing challenges. This special issue aims to provide an international forum for researchers to exchange up-to-date outcomes on AI, LLM and energy engineering (EE) to address the energy engineering and informatics issues in real-world scenarios. These three exciting research areas (AI, LLM and EE) have attracted extensive research interests over last decades, both from the science research community and the engineering research group. With the emergence of novel methods and systems, recent progresses remain to be investigated and studied. Therefore, a special issue is proposed to satisfy this requirement, which will have a great significance and profound impact on the next-generation energy design, including net-zero green building design, smart cities developments with AI, intelligent system control for net-zero energy design and so on. AI and large language modeling for modern energy systems.Intelligent control using large language models for energy systems.Large language models for energy consumption pattern recognition and forecasting.Large language models for sustainable energy generation forecasting.Large language models for energy balance design in smart and green buildings.Large language model empowered physics modeling in energy systems.Big data analysis for sustainable energy design with large language models.Physics informed AI models for sustainable energy design applications.Guest editors:Prof. Ke YanHunan University, Changsha, ChinaDr. Vincent GanNational University of Singapore, Singapore City, SingaporeProf. Amy TrappeyNational Tsing Hua University, Hsinchu, TaiwanProf. Fu XiaoThe Hong Kong Polytechnic University, Hong Kong, Hong KongManuscript submission information:Open for Submission: from 04-Nov-2025 to 31-Jul-2026Submission Site: Editorial Manager®Article Type Name: "VSI: ADVEI_LLMs in Energy" - please select this item when you submit manuscripts onlineAll manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor (Prof. Ke Yan).Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Advanced Engineering InformaticsFor more information about our Journal, please visit our ScienceDirect Page: Advanced Engineering InformaticsKeywords:Large Language ModelingEnergy SystemNet-zero Energy BuildingEnergy ManagementSustainability
2026-01-05
- [특허등록][샤젭, 우수만,허성구] 태양열에 기반한 다중 생산 시스템 (10-2786562)
- [특허등록][샤젭, 우수만, 허성구] 태양열에 기반한 다중 생산 시스템 (10-2786562)I'm happy to announce to you that a patent was registered from emsel researcher (Prof. Shahzeb Tariq, Ph.D.:Usman (@UCD), Prof. Heo (KNU)).- patent registration: SOLAR POWERED MULTI GENERATION SYSTEM (태양열에 기반한 다중 생산 시스템)- registration no.: 10-2786562- registration date : 2025.3.20 연구실에 태양열 다중생산시스템 특허등록이 되었습니다 (졸업생 동국대 샤젭 교수, 아일랜드 UCD대학 Usman연구원, 강원대 허성구 교수)발명인명: 유창규, 타리크 샤제브 , 사프더 우스만, 허성구,태양열에 기반한 다중 생산 시스템(SOLAR POWERED MULTI GENERATION SYSTEM), 등록번호:10-2786562 등록일자 2025.3.20 (Ack: NRF2021R1A2C2007838)
2026-01-01
PUBLICATIONS
- Sustainable energies and machine learning: an organized review of recent applications and challenges
- Pouya Ifaei, Morteza Nazari-Heris, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo*, Sustainable energies and machine learning: an organized review of recent applications and challenges, Energy (ISSN: 0360-5442, SCI, Top 5% journal – THERMODYNAMICS), 266(1), pp.126432 (2023.3) (Ack 3개: Brain Pool Program2019H1D3A1A02071051 & NRF중견2021R1A2C2007838 & Collabo R&D of SMEs and Startups in 2022.(Project No. S3301144)
- Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach
- Shahzeb Tariq+, Jorge Loy-Benitez+, KiJeon Nam, SangYoun Kim, MinJeong Kim*, ChangKyoo Yoo*, Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach, Tunnelling and underground space (ISSN: 0886-7798, SCIE, JCR Top 10%-ENGINEERING, CIVIL, DOI), Elsevier, 131(1), pp.104843 (Ack: 2021R1A2C2007838 & Fine Dust Reduction Technology(21QPPW-B152306-03)
- Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving
- Abdulrahman H. Ba-Alawi, KiJeon Nam, SungKu Heo, TaeYong Woo, Hanaa Aamer, and Chang Kyoo Yoo*, Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving, Chemical Engineering Journal (IF>16.4, JCR TOP 3% journal/Top 1 journal-Chemical Engineering), 452(1), pp.139220 (2023.1) (Ack 3개:NRF2021R1A2C2007838, “Prospective green technology innovation project (2020003160009), SMEs and Startups in 2022 (Project No. S3301144)
