Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems
eBook - ePub

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems

About this book

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy life cycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants' behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. A smart and flexible energy system is essential for reaching Net Zero whilst keeping energy bills affordable. This title provides critical information to students, researchers and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity. - Introduces spatiotemporal energy sharing with new energy vehicles and human-machine interactions - Discusses the potential for electrification and hydrogenation in integrated building-transportation systems for sustainable development - Highlights key topics related to traditional energy consumers, including peer-to-peer energy trading and cost-benefit business models

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems by Yuekuan Zhou,Jinglei Yang,Guoqiang Zhang,Peter D. Lund in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems
  2. Cover
  3. Title Page
  4. Copyright
  5. Table of Contents
  6. Dedication
  7. List of contributors
  8. Foreword
  9. Preface
  10. Acknowledgments
  11. Chapter 1 Smart buildings and intelligent transportations with artificial intelligence and digitalization technology
  12. Chapter 2 Machine learning and artificial intelligence-distributed renewable energy sources: technologies, perspectives, and challenges
  13. Chapter 3 Building occupant behavior and vehicle driving schedules with demand prediction and analysis
  14. Chapter 4 Integrated energy flexible building and e-mobility with demand-side management and model predictive control
  15. Chapter 5 Electrification and hydrogenation in integrated building-transportation systems for sustainability
  16. Chapter 6 Hybrid energy storages in buildings with artificial intelligence
  17. Chapter 7 Smart grid with energy digitalization
  18. Chapter 8 Peer-to-peer energy trading with advanced pricing and decision-making mechanisms
  19. Chapter 9 Blockchain technologies for automatic, secure, and tamper-proof energy trading
  20. Chapter 10 Energy economy and robustness with mobile energy storage systems
  21. Chapter 11 Application of Internet of Energy and digitalization in smart grid and sustainability
  22. Chapter 12 Application of big data and cloud computing for the development of integrated smart building transportation energy systems
  23. Chapter 13 Social and economic analysis of integrated building transportation energy system
  24. Index