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      1. Naturvetenskap och teknik
      2. Teknik och industri
      3. Energiteknik

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

      Volume 2

      AvFushuan Wen,Haoming Liu

      Inbunden, Engelska, 2025

      Del 1336 i serien Lecture Notes in Electrical Engineering

      2 502 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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.

      Produktinformation

      • Utgivningsdatum:2025-02-28
      • Mått:155 x 235 x 50 mm
      • Vikt:1 377 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Lecture Notes in Electrical Engineering
      • Antal sidor:804
      • Förlag:Springer Nature Switzerland AG
      • ISBN:9789819619641

      Utforska kategorier

      • Energiteknik inom Naturvetenskap och teknik

      Mer om författaren

      Fushuan Wen (Fellow, IEEE) received the B.E. and M.E. degrees from Tianjin University, Tianjin, China, in 1985 and 1988, respectively, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 1991, all in electrical engineering. He joined Zhejiang University as a Faculty Member in the School of Electrical Engineering in 1991, where he has been a Full Professor since 1997; he has also been a Full Professor with the Hainan Institute, Zhejiang University since 2022. He is a part-time distinguished professor in Hangzhou Dianzi University, China, and a visiting principal research scientist in Shenzhen Institute of Artificial Intelligence and Robotics for Society, China. He has been listed in "Most Cited Chinese Researchers" in eight consecutive years since 2015 by Elsevier. He is the Editor-in-Chief of Energy Conversion and Economics (IET), the deputy Editor-in-Chief of Automation of Electric Power Systems, and serves as the editor, subject editor and associate editor of several international journals. His research interests include power industry restructuring, power system alarm processing, fault diagnosis and restoration strategies, smart grids and electric vehicles, as well as artificial intelligence applications in power and integrated energy systems.Haoming Liu, male, born in February 1977, from Yancheng, Jiangsu Province. Professor and doctoral supervisor of the School of Energy and Electrical Engineering, Hohai University. IEEE Senior Member, member of the Chinese Society for Electrical Engineering, member of the Electrical Mathematics Committee of the Chinese Society for Electrical Engineering, member of the Technical Committee of the Key Laboratory of Photovoltaic Power Generation Grid-connected Technology of Qinghai Province, selected into the Six Talent Peak Programs of Jiangsu Province, has been engaged in scientific research in the fields of smart grid, distributed renewable energy generation, electricity consumption and energy efficiency, electricity market, etc. In recent years, he has presided over more than 40 national, provincial and ministerial scientific research projects and enterprise commissioned projects, published more than 200 academic papers, including more than 100 SCI/EI indexed papers, authorized more than 10 national invention patents, won 8 provincial and ministerial science and technology progress awards, published 1 textbook of the 12th Five-Year Plan, and trained more than 80 graduate students.Huiqing Wen (Senior Member, IEEE) received the B.S. and M.S. degrees from Zhejiang University, Hangzhou, China, in 2002 and 2006, respectively, and the Ph.D. degree from the Chinese Academy of Sciences, Beijing, China, in 2009, all in electrical engineering., From 2009 to 2010, he was an Electrical Engineer with the GE (China) Research and Development Center Company, Ltd., Shanghai, China. From 2010 to 2011, he was an Engineer with the China Coal Research Institute, Beijing, China. From 2011 to 2012, he was a Postdoctoral Fellow with the Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates. Since 2013, he has been with the Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China, where he is currently an Professor. He has authored or coauthored more than 50 peer-reviewed technical papers in leading journals. His research interests include renewable energy, electric vehicle, power electronics, microgrid, and power semiconductor devices. Dr. Wen is a Fellow of the Institution of Engineering and Technology. He is the Associate Editor for IEEE Access, International Journal of Photoenergy, and Journal of Power Electronics.Shunli Wang received the M.S. and Ph.D. degrees from the School of Information Engineering, Southwest University of Science and Technology, Mianyang, China. He is currently a Professor with the Southwest University of Science and Technology. He is currently an Authoritative Expert of the new energy research field and the Leader of New Energy Measurement and Control Research Team. He has undertaken more than 40 projects and 30 patents, authored or coauthored more than 150 research papers. Dr. Wang was the recipient of 20 awards, such as the Young Scholar, Science and Technology Progress Award, University-Enterprise Innovative Talent Team and National Electrical Safety and Quality Inspection Center (Sichuan) Academic Leader, developed multi-generational battery systems to improve the reliability and expand the application field with significant social and economic benefits.

      Innehållsförteckning

      • Optimal Control of Large Number of Air Conditioners Driven by Dynamic Electric Carbon Emission Factor.- Application of a Bi-Level Optimization Model for Energy Storage Capacity Allocation in Distribution Network with Renewable Energy Integration.- Power Load Disaggregation Method based on Sparse Constraint.- Optimal Primary Frequency Support Demand Dispatch for Multiple Wind Turbines Considering Loss of Captured Wind Energy.
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