The Agricultural Energy Internet

Auteur

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.

Texte du rabat

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.