Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data-Reference-Cited by-同舟云学术

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Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data

Published:2024-01 Issue: Volume:180 Page:108471
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Schaeffer Joachim^ORCID,Lenz Eric^ORCID,Chueh William C.^ORCID,Bazant Martin Z.^ORCID,Findeisen Rolf^ORCID,Braatz Richard D.^ORCID

Funder

Eidgenössische Technische Hochschule Zürich

Toyota Research Institute

Federal Ministry of Education and Research Berlin Office

German Academic Exchange Service

Massachusetts Institute of Technology

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference38 articles.

1. Closed-loop optimization of fast-charging protocols for batteries with machine learning;Attia;Nature,2020

2. Statistical learning for accurate and interpretable battery lifetime prediction;Attia;J. Electrochem. Soc.,2021

3. Thermodynamic stability of driven open systems and control of phase separation by electro-autocatalysis;Bazant;Faraday Discuss.,2017

4. Partial least squares: A versatile tool for the analysis of high-dimensional genomic data;Boulesteix;Brief. Bioinform.,2007

5. EE263: Introduction to Linear Dynamical Systems;Boyd,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More;2024 American Control Conference (ACC);2024-07-10

2. Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging;IFAC-PapersOnLine;2024

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