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Clean Energy Technology and Energy Storage Systems : 8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, September 13–15, 2024, Proceedings, Part III / / edited by Kang Li, Kailong Liu, Yukun Hu, Mao Tan, Long Zhang, Zhile Yang



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Autore: Li Kang Visualizza persona
Titolo: Clean Energy Technology and Energy Storage Systems : 8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, September 13–15, 2024, Proceedings, Part III / / edited by Kang Li, Kailong Liu, Yukun Hu, Mao Tan, Long Zhang, Zhile Yang Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (404 pages)
Disciplina: 003.3
Soggetto topico: Computer simulation
Computer networks
Machine learning
Computers, Special purpose
Computer science - Mathematics
Application software
Computer Modelling
Computer Communication Networks
Machine Learning
Special Purpose and Application-Based Systems
Mathematics of Computing
Computer and Information Systems Applications
Altri autori: LiuKailong  
HuYukun  
TanMao  
ZhangLong  
YangZhile  
Sommario/riassunto: The five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China. The 29 papers presented were carefully reviewed and selected from over 496 submissions. The LSMS and ICSEE international conference series aim to bring together international researchers and practitioners in the fields of advanced methods for life system modeling and simulation, as well as advanced intelligent computing theory, methodologies, and engineering applications in achieving net zero across all sectors to tackle the global climate change challenge.
Titolo autorizzato: Clean Energy Technology and Energy Storage Systems  Visualizza cluster
ISBN: 9789819602322
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983395203321
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2218