Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108225
DC FieldValueLanguage
dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.contributorResearch Institute for Smart Energyen_US
dc.creatorXiao, Fen_US
dc.creatorGuo, Fen_US
dc.creatorFan, Cen_US
dc.creatorBesagni, Gen_US
dc.date.accessioned2024-07-29T02:46:02Z-
dc.date.available2024-07-29T02:46:02Z-
dc.identifier.issn1359-4311en_US
dc.identifier.urihttp://hdl.handle.net/10397/108225-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.titleSpecial issue on artificial intelligence in thermal engineering systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author's file: Guest Editorial: Special Issue on Artificial Intelligence in Thermal Engineering Systemsen_US
dc.identifier.volume236en_US
dc.identifier.doi10.1016/j.applthermaleng.2023.121894en_US
dcterms.abstractThe special issue “AI in Thermal Engineering” covers the most recent studies with a focus on the applications of artificial intelligence (AI) technologies in thermal engineering systems. The overall aim is to report the latest advances of research and development, discuss the pros and cons, and explore the future perspectives on the synergy of AI and thermal engineering. Articles reporting original research contributions and critical reviews on adopting AI to address engineering problems of modeling, prediction, control, optimization, performance assessment, diagnosis of thermal engineering devices, components and systems are welcome. Special focus is given to those problems which have not been adequately addressed by adopting traditional methods due to limited knowledge and information, computation efficiency, capability of generalization and adaptation in applications, etc. The targeted engineering systems include energy storage devices, power plants, heat pumps and cooling or refrigeration plants, combined heat and power plants, buildings and district energy systems, renewable and clean energy systems, and other engineering systems involving thermal engineering processes. The special issue has received over 30 submissions, and a total of 10 technical papers are selected for publication which cover a broad range of applications including building energy systems, thermal power units, vehicles, and heat transfer processes. These papers addressed challenges and research gaps in adopting AI in real applications, such as model development and adaption, model interpretability, data imbalance, missing data imputation, etc.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationApplied thermal engineering, 5 Jan. 2024, v. 236, 121894en_US
dcterms.isPartOfApplied thermal engineeringen_US
dcterms.issued2024-01-05-
dc.identifier.scopus2-s2.0-85176279731-
dc.identifier.eissn1873-5606en_US
dc.identifier.artn121894en_US
dc.description.validate202407 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3093c, a3673a-
dc.identifier.SubFormID49599, 50661-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-01-05en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-01-05
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