Read more
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.
List of contents
1. The Concept of the Agricultural Energy Internet
2. Comprehensive Safety Analysis of Agricultural Park Energy Internet, Considering Crop Physiological Characteristics
3. Enhancing the Synergy of Agriculture, Energy, and Environment in Agricultural Microgrids via Carbon Accounting
4. Optimal Management Strategy for Rural Microgrids, Incorporating Greenhouse Load Control
5. Distributed Energy Planning in Rural Areas based on Agri-Energy-Environment Synergy
6. Modeling Comprehensive Power Loads in the Fisheries Energy Internet, Considering Fishery Meteorology
7. A Carbon Tracking System Platform for the Agricultural Energy Internet
8. The Future of the Artificial Intelligence-based Agricultural Energy Internet
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.
