Advances in Digitalization and Machine Learning for Integrated Building Transportation Energy Systems is popular PDF and ePub book, written by Yuekuan Zhou in 2023-11-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Advances in Digitalization and Machine Learning for Integrated Building Transportation Energy Systems can be Read Online from any device for your convenience.
Advances in Digitalization and Machine Learning for Integrated Building Transportation Energy Systems Book PDF Summary
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
Detail Book of Advances in Digitalization and Machine Learning for Integrated Building Transportation Energy Systems PDF
- Author : Yuekuan Zhou
- Release : 20 November 2023
- Publisher : Elsevier
- ISBN : 9780443131783
- Genre : Computers
- Total Page : 302 pages
- Language : English
- PDF File Size : 20,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Advances in Digitalization and Machine Learning for Integrated Building Transportation Energy Systems by Yuekuan Zhou, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.