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AI for status monitoring of utility scale batteries
Record Type:
Language materials, printed : Monograph/item
Title/Author:
AI for status monitoring of utility scale batteries/ Shunli Wang, Kailong Liu, Yujie Wang, Daniel-I. Stroe, Carlos Fernández, Josep M. Guerrero.
Author:
Wang, Shunli.
other author:
Liu, Kailong.
Description:
1 online resource (385 pages)
Online resource:
Click to View
ISBN:
9781839537394
AI for status monitoring of utility scale batteries
Wang, Shunli.
AI for status monitoring of utility scale batteries
[electrical resource] /Shunli Wang, Kailong Liu, Yujie Wang, Daniel-I. Stroe, Carlos Fernández, Josep M. Guerrero. - 1st ed. - 1 online resource (385 pages) - Energy Engineering Series ;v.238. - Energy Engineering Series.
Utility-scale Li-ion batteries are poised to play key roles for the clean energy system, but their failure has severe effects. AI can help with their monitoring and management. This work covers machine learning, neural networks, and deep learning, for battery modeling.
ISBN: 9781839537394Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: TK2945
Dewey Class. No.: 621.312424
AI for status monitoring of utility scale batteries
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Shunli Wang, Kailong Liu, Yujie Wang, Daniel-I. Stroe, Carlos Fernández, Josep M. Guerrero.
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2023.
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Utility-scale Li-ion batteries are poised to play key roles for the clean energy system, but their failure has severe effects. AI can help with their monitoring and management. This work covers machine learning, neural networks, and deep learning, for battery modeling.
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Description based on publisher supplied metadata and other sources.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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