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portada Machine Learning for Advanced Battery Systems
Type
Physical Book
Publisher
Author
Language
English
Pages
238
Format
Hardcover
ISBN13
9783725884254

Machine Learning for Advanced Battery Systems

Benben Jiang;Xiang Chen;Guannan He (Author) · MDPI AG · Hardcover

Machine Learning for Advanced Battery Systems - Benben Jiang;Xiang Chen;Guannan He

New Book Imported to Netherlands
Delivery: 16 Oct - 20 Oct Shipping: 5 to 6 business days.
€ 81,18
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Synopsis "Machine Learning for Advanced Battery Systems"

Machine learning has significant potential for enabling a more economic, efficient, and reliable low-carbon transition of energy systems, such as improving generation and load forecasting, accelerating the design of next-generation battery chemistries, enhancing distributed energy resource coordination, and advancing battery management systems, including battery lifetime prediction, capacity fade estimation, and optimal charge design. The purpose of this Special Issue is to provide an overview of the state-of-the-art, to present new research results and to discuss the promising future research directions at the interface between energy and machine learning.

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The binding of this edition is Hardcover.

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