Remaining useful life prediction for supercapacitor based on long short-term memory neural network-Reference-Cited by-同舟云学术

Remaining useful life prediction for supercapacitor based on long short-term memory neural network

Published:2019-11 Issue: Volume:440 Page:227149
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Zhou Yanting,Huang Yinuo,Pang Jinbo,Wang Kai^ORCID

Funder

Shandong Science and Technology Development Plan

National Natural Science Foundation Youth Fund

NSFC

Natural Science Foundation of Shandong Province

National Key R&D Program of China

Ministry of Science and Technology (MOST) of China and the Key R&D program of Shandong Province

Major Innovation Project of Science and Technology of Shandong Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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4. The graphene/lanthanum oxide nanocomposites as electrode materials of supercapacitors;Zhang;J. Power Sources,2019

5. Flexible electrochromic supercapacitor hybrid electrodes based on tungsten oxide films and silver nanowires;Shen;Chem. Commun.,2016

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