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.
1. 5.1 Introduction - p. 179 2. 5.2 Methodology - p. 182 3. 5.3 Case analysis - p. 203 4. 5.3.10 Learning and knowledge outcomes - p. 231 5. 5.4 Conclusion - p. 232 6. 5.5 Study questions - p. 233 7. Funding - p. 234 8. References - p. 234 9. Chapter 6 Modeling comprehensive power loads in fisheries energy internet with consideration of fishery meteorology - p. 237 10. Chapter 7 Carbon tracking system platform for agricultural energy internet - p. 271 11. Chapter 8 The future of the artificial intelligence-based agricultural energy internet - p. 313 12. Index - p. 357
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.
1. 5.1 Introduction - p. 179 2. 5.2 Methodology - p. 182 3. 5.3 Case analysis - p. 203 4. 5.3.10 Learning and knowledge outcomes - p. 231 5. 5.4 Conclusion - p. 232 6. 5.5 Study questions - p. 233 7. Funding - p. 234 8. References - p. 234 9. Chapter 6 Modeling comprehensive power loads in fisheries energy internet with consideration of fishery meteorology - p. 237 10. Chapter 7 Carbon tracking system platform for agricultural energy internet - p. 271 11. Chapter 8 The future of the artificial intelligence-based agricultural energy internet - p. 313 12. Index - p. 357
