Name: Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems (in English)
Price: 159.60 USD
Availability: InStock
Author: Zhou Yuekuan (Editor)/ Yang Jinglei (Editor)/ Zhang Guoqiang (Editor)/ Lund Peter D. (Editor)
ISBN: 9780443131776

portada Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems (in English)

Type

Physical Book

Publisher

Elsevier

Author

Zhou Yuekuan (Editor)/ Yang Jinglei (Editor)/ Zhang Guoqiang (Editor)/ Lund Peter D. (Editor)

Language

English

Pages

300

Format

Paperback

ISBN13

9780443131776

Edition No.

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

Zhou Yuekuan (Editor)/ Yang Jinglei (Editor)/ Zhang Guoqiang (Editor)/ Lund Peter D. (Editor) (Author) · Elsevier · Paperback

New Book

$ 159.60

$ 199.50

You save: $ 39.90

20% discount

Shipping

It will be shipped from our warehouse between Friday, July 12 and Tuesday, July 16.

You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems (in English)"

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 lifecycle, 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. 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.

Customers reviews

Have you read this book? Login to add your review.

More customer reviews

0% (0)
0% (0)
0% (0)
0% (0)
0% (0)

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems (in English) - Zhou Yuekuan (Editor)/ Yang Jinglei (Editor)/ Zhang Guoqiang (Editor)/ Lund Peter D. (Editor)

Synopsis "Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems (in English)"

Customers reviews

Frequently Asked Questions about the Book

Is the book original?

In what language is the book written?

What is the format of this book?

Questions and Answers about the Book

Opinions about Bookdelivery