Fu / Zhang The Agricultural Energy Internet

Theories, Methods, and Future Prospects
1. Auflage 2025
ISBN: 978-0-443-27563-0
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 270 Seiten

Reihe: Advances in Intelligent Energy Systems

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

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.

Autoren/Hrsg.

Fu, Xueqian

Zhang, Xiurong