The Agricultural Energy Internet: Theories, Methods, and Future Prospects
Author(s): Xueqian Fu (Author), Xiurong Zhang (Author)
- Publisher: Elsevier
- Publication Date: June 13, 2025
- Edition: 1st
- Language: English
- Print length: 390 pages
- ISBN-10: 0443275629
- ISBN-13: 9780443275623
Book Description
The Agricultural Energy Internet: Theories, Methods, and Future Prospects provides a pioneering guide to the grid integration and impact of agricultural energy systems for a distributed and sustainable power grid. This book begins with an introduction to fundamental concepts that is followed by a comprehensive safety analysis considering crop physiological characteristics. Subsequent chapters delve into enhancing the synergy of agriculture, energy, and the environment through carbon monitoring, optimal management strategies for rural microgrids, and distributed energy planning.
Later chapters cover system design insights, load modeling, control strategies, and AI-based tools. Designed for engineers, students, and researchers, this book collates the state of research and provides detailed case studies and practical applications, making it indispensable for those innovating in sustainable energy systems.
- Includes a clear and incisive introduction to the nexus of agricultural needs, power grids, and smart energy
- Presents practical toolkits for a variety of scenarios, with detailed case studies, code files, and transparent data sharing
- Provides a new release in the Advances in Intelligent Energy Systems series, sharing the latest developments in sustainable power for the future
Editorial Reviews
Review
A practical primer supporting engineers and researchers in the integration of agriculture with distributed and sustainable energy systems
From the Back Cover
The Agricultural Energy Internet: Theories, Methods, and Future Prospects provides a pioneering guide to the grid integration and impact of agricultural energy systems for a distributed and sustainable power grid. This book begins with an introduction to the fundamental concept, followed by a comprehensive safety analysis considering crop physiological characteristics. Subsequent chapters delve into enhancing the synergy of agriculture, energy, and environment through carbon monitoring, optimal management strategies for rural microgrids, and distributed energy planning. Later chapters cover system design insights, load modeling and control strategies, and AI-based tools. Designed for engineers, students, and researchers, The Agricultural Energy Internet collates the state of the research and provides detailed case studies and practical applications, making it indispensable for those innovating in sustainable energy systems.
About the Author
Xueqian Fu is an Associate Professor at China Agricultural University (CAU), a Senior Member of IEEE, and Vice Chairman of IEEE Smart Village-CWG, IEEE Young Professionals. He is a one of the World’s Top 2% Scientists 2023 and has been recognized as ‘Outstanding Talent’ and ‘Young Star B’ by China Agricultural University. Dr. Xu received his Ph.D. degree from South China University of Technology in 2015 and was a Post-Doctoral Researcher at Tsinghua University from 2015 to 2017. His current research interests include Statistical Machine Learning, Agricultural Energy Internet, and PV system integration. He serves as Deputy Editor-in-Chief for Information Processing in Agriculture and as Associate Editor for IET Renewable Power Generation, Artificial Intelligence and Applications, Protection and Control of Modern Power Systems and the Journal of Data Science and Intelligent Systems. He also serves as a youth editor for Clean Energy Science and Technology and Lead Guest Editor role for International Transactions on Electrical Energy Systems.
Xiurong Zhang is currently working as a postdoctoral researcher at China Agricultural University, China, with research interests in wireless communication, statistical machine learning, and the fishery energy internet. She is an IEEE Member, IEEE Young Professional, the Special Session Chair for the ICPET 2024 IEEE Conference, a Conference Program Committee Member for IWACCE 2024, and a Guest Editor for the Journal of Data Science and Intelligent Systems.
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