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A01=Guanglin Zhang
A01=Lin Wang
A01=Ming Chen
A01=Zhirong Shen
Age Group_Uncategorized
Age Group_Uncategorized
Author_Guanglin Zhang
Author_Lin Wang
Author_Ming Chen
Author_Zhirong Shen
automatic-update
Category1=Non-Fiction
Category=RN
Category=THRD
Category=THX
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Energy Management for Microgrid Systems: Algorithms and Applications

This book provides an in-depth discussion of the significance of energy management in microgrids, focusing on three key areas: multi-energy cooperative management in single and multi-microgrid systems, and energy management issues related to the Internet of Vehicles (IoV) in microgrids.

In Part 1, the book emphasizes the collaborative management of multiple energy sources, considering electric, gas, hydrogen, and renewable energy for a single microgrid system. In Part 2, it addresses the challenges in multi-microgrid systems and proposes a scheduling scheme for multi-energy cooperative management. Finally, Part 3 investigates the energy management challenges posed by the Internet of Vehicles in microgrids, and proposes a management scheme for electric vehicles (EVs) within microgrids using deep reinforcement learning.

Overall, the algorithms discussed in this book are essential for addressing the energy management challenges in microgrids.

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Current price €126.34
Original price €132.99
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A01=Guanglin ZhangA01=Lin WangA01=Ming ChenA01=Zhirong ShenAge Group_UncategorizedAuthor_Guanglin ZhangAuthor_Lin WangAuthor_Ming ChenAuthor_Zhirong Shenautomatic-updateCategory1=Non-FictionCategory=RNCategory=THRDCategory=THXCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 30 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 30 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031785634

About Guanglin ZhangLin WangMing ChenZhirong Shen

Guanglin Zhang received the B.S. degree in applied mathematics from Shandong Normal University Jinan China in 2003 the M.S. degree in operational research and cybernetics from Shanghai University Shanghai China in 2006 and the Ph.D. degree in information and communication engineering from Shanghai Jiao Tong University Shanghai in 2012. From 2013 to 2014 he was Post-Doctoral Research Associate with the Institute of Network Coding the Chinese University of Hong Kong. He is currently Professor in Donghua University Shanghai. His research interests include online algorithms capacity scaling of wireless networks vehicular networks smart microgrids and mobile edge computing. He has been Local Arrangement Co-Chair of ACM TURC 2017 and 2019 and the Vice Technical Program Committees Co-Chair of ACM TURC 2018 and 2021. He is Editor on the Editorial Board of IEEE/CIC CHINA COMMUNICATIONS. Lin Wang received the Ph.D. degree in control theory from the Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China in 2009. After the Ph.D. degree she joined the Department of Automation Shanghai Jiao Tong University Shanghai China where she has been Professor since 2019. She was Visiting Associate Professor with Harvard University from January 2018 to August 2018 and was Visiting Associate Professor with Manchester Institute of Technology (MIT) from August 2018 to January 2019. Her research interests include multi-agent systems adaptive complex networks energy management and evaluation of connected and automated vehicles. Ming Chen received the B.S. degree in mathematics and applied mathematics from Anqing Normal University Anhui China in 2018. She is currently pursuing the Ph.D. degree in information and communication intelligence system from Donghua University Shanghai China. Her research interests include the smart grids energy management and deep reinforcement learning. Zhirong Shen received the B.S. degree in communication engineering from Donghua University Shanghai China in 2017 and received the Ph.D. degree in information and communication intelligence system from Donghua University Shanghai China in 2023. His research interests include the energy scheduling and the co-generation in microgrid.

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