Proceedings of 2024 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE 2024) (eBook)

Volume 2
Artikelnummer: 978-981-9619-65-8
Einband: PDF
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The proceedings presents a comprehensive collection of carefully selected papers from the 2nd International Conference on Smart Electrical Grid and Renewable Energy (SEGRE 2024). With a strong emphasis on electrical engineering, smart grid technology, and green technology, this work serves as a valuable resource for researchers, experts, professionals, and practitioners in the fields of electrical grids and renewable energy. The conference aims to create knowledge exchange, where participants can present their cutting-edge research findings, showcase their latest research project outcomes, and engage in insightful discussions to share their views and experiences.


accessibilitysupport@springernature.com

The proceedings presents a comprehensive collection of carefully selected papers from the 2nd International Conference on Smart Electrical Grid and Renewable Energy (SEGRE 2024). With a strong emphasis on electrical engineering, smart grid technology, and green technology, this work serves as a valuable resource for researchers, experts, professionals, and practitioners in the fields of electrical grids and renewable energy. The conference aims to create knowledge exchange, where participants can present their cutting-edge research findings, showcase their latest research project outcomes, and engage in insightful discussions to share their views and experiences.


accessibilitysupport@springernature.com
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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2025
Seitenangabe804 S.
AusgabekennzeichenEnglisch
AbbildungenXVI, 804 p. 453 illus., 365 illus. in color.
Masse100'317 KB
PlattformPDF
ReiheLecture Notes in Electrical Engineering; Energy; Energy ; Springer Nature Proceedings excluding Computer Science
AutorWen, Fushuan (Hrsg.) / Liu, Haoming (Hrsg.) / Wen, Huiqing (Hrsg.) / Wang, Shunli (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Electrical Engineering; Energy; Energy (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Fushuan (Hrsg.) Wen

Fushuan Wen has been a full professor and the director of the Institute of Power Economics and Information in Zhejiang University (China) since 1997, and a full professor in Hainan Institute, Zhejiang University since 2022. He is also the director of Sanya Global Energy Institute, and a visiting principal research scientist in Shenzhen Institute of Artificial Intelligence and Robotics for Society. He has been undertaking various teaching, research and visiting appointments in National University of Singapore, Hong Kong Polytechnic University, University of Hong Kong, South China University of Technology, University of New South Wales, Queensland University of Technology, Brunei University of Technology, Technical University of Denmark, Nanyang Technological University, Murdoch University, Tallinn University of Technology, Hangzhou Dianzi University,Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. He has published 400+ SCl-indexed papers, 750+ El-indexed papers, and 920+ Scopus-indexed papers. His publications have been cited for 25000+ times. He has completed and is undertaking more than 200 grants and projects from governmental organizations and industry. He received several awards both at the national level and provincial level, including the most prestigious National Natural Science Award of China. He has been listed in "Most Cited Chinese Researchers"in 11 consecutive years since 2015 by Elsevier. He is the editor-in-chief of "IET Energy Conversion and Economics", the deputy editor-in-chief of "Automation of Electric Power Systems", "Smart Power & Energy Security", "Power Grid Engineering Science" and "Distributed Energy", a subject editor in power system economics of "IET Generation, Transmission and Distribution". He is also on the editorial boards of more than 10 journals. He was elected to IEEE Fellow for contributions to fault diagnosis in power grids. Hao Wang is an ARC DECRA Fellow and Senior Lecturer in the Department of Data Science and Artificial Intelligence, Monash University. He is also affiliated with the Monash Energy Institute and Monash Data Futures Institute. He was a Postdoctoral Research Fellow in the Stanford Sustainable Systems Lab working with Prof. Ram Rajagopal and Dr. Chin-Woo Tan at Stanford University and a Washington Research Foundation (WRF) Innovation Fellow working with Prof. Baosen Zhang at University of Washington, Seattle. He received his PhD from The Chinese University of Hong Kong under the supervision of Prof. Jianwei Huang. His research interests are in applied machine learning and data analytics for smart grids and smart cities, optimization of power & energy systems, and business models and mechanism design for incentivizing participation of electric vehicles and prosumers. He has been awarded the best paper award at IEEE PECON 2016, the best paper run-up at IEEE ICC 2017, and the best paper nomination at IEEE SmartGridComm 2020. He is on the editorial board of the International Journal of Precision Engineering and Manufacturing-Green Technology (IJPEM-GT), an associate editor for Energy Conversion and Economics, IEEE Access, and Frontiers in Energy Research, and a referee for top journals: IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, Applied Energy, Renewable Energy, etc. He has served as an Organization Committee member for ACM e-Energy 2019 and a TPC member for conferences including IEEE SmartGridComm, IEEE Globecom, and IEEE ICC.

Weitere Titel von Fushuan (Hrsg.) Wen

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