Analytics for Smart Energy Management

Tools and Applications for Sustainable Manufacturing

Business & Finance, Management & Leadership, Industrial Management, Industries & Professions, Industries, Nonfiction, Science & Nature, Technology
Cover of the book Analytics for Smart Energy Management by Seog-Chan Oh, Alfred J. Hildreth, Springer International Publishing
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Author: Seog-Chan Oh, Alfred J. Hildreth ISBN: 9783319327297
Publisher: Springer International Publishing Publication: April 15, 2016
Imprint: Springer Language: English
Author: Seog-Chan Oh, Alfred J. Hildreth
ISBN: 9783319327297
Publisher: Springer International Publishing
Publication: April 15, 2016
Imprint: Springer
Language: English

This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption.

It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices.

It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption.

It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices.

It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.

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