Advanced Energy Management: Digitalization and AI for the Internet of Energy presents the latest advances in the fields of distributed renewable systems, advanced controls, and energy management of nonlinear energy behaviors. The book addresses the problems of energy resilience under extreme climate and extreme events and presents new applications for energy-efficient, low-carbon, and energy-reliable cities.
The book explains how energy management is used in multienergy systems for improved power dispatch, fast response, dynamic aging, and techno-economic performance.
This book is an invaluable reference for students, researchers, and industry professionals seeking advanced energy management strategies, and will be of interest to anyone involved in carbon neutrality solutions.
The book explains how energy management is used in multienergy systems for improved power dispatch, fast response, dynamic aging, and techno-economic performance.
This book is an invaluable reference for students, researchers, and industry professionals seeking advanced energy management strategies, and will be of interest to anyone involved in carbon neutrality solutions.
Table of Contents
1. Introduction to Artificial Intelligence for Energy and multidisciplinary research for Carbon Neutrality Transition2. Interconnection among climate change, performance response and anti-climate change strategies of multi-energy systems
3. Big data and energy digitalization for sustainable energy supply-transmission-distribution with energy storages
4. Integration of Renewable Energy Sources
5. Internet of Thing (IoT) technologies for internet of energy (IOE)
6. Machine learning for power forecasting on renewable systems
7. Machine learning for demand predictions of buildings and transportations
8. Machine learning for energy storage I-thermal and electrical and hydrogen energy storages
9. Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities
10. Energy management systems (EMSs) in integrated energy systems with artificial intelligence
11. Energy management systems (EMSs) in power grid
12. Blockchain-based power trading security and privacy protection
13. Digital energy-city information models for optimal EV charging stations and energy resilience
14. Ethical considerations and societal impact of AI in energy systems
15. Frontier regulatory and policy of advanced energy management for carbon neutrality transition
16. Case studies and real-world applications of advanced energy management with AI and digitalization
17. Sustainability and Environmental Impact Analysis
18. Community engagement and participatory governance in the transition to zero-carbon communities
