Remaining Useful Life Prediction | List of Frontiers open access articles

Original Research

Published on 06 Nov 2020

Remaining Useful Life Prediction Based on Improved Temporal Convolutional Network for Nuclear Power Plant Valves

in Nuclear Energy

Hang Wang
Minjun Peng
Renyi Xu
Abiodun Ayodeji
Hong Xia

Frontiers in Energy Research

doi 10.3389/fenrg.2020.584463

13,668 views
41 citations

Methods

Published on 12 Aug 2022

Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network

in Smart Grids

Wangyang Hu
Shaishai Zhao

Frontiers in Energy Research

doi 10.3389/fenrg.2022.969168

6,273 views
34 citations

Original Research

Published on 14 Sep 2022

Remaining useful life prediction of lithium-ion batteries using CEEMDAN and WOA-SVR model

in Electrochemical Energy Storage

Xianmeng Meng
Cuicui Cai
Yueqin Wang
Qijian Wang
Linglong Tan

Frontiers in Energy Research

doi 10.3389/fenrg.2022.984991

3,798 views
26 citations

Original Research

Published on 05 Jan 2023

Remaining useful life prediction of Lithium-ion batteries based on PSO-RF algorithm

in Process and Energy Systems Engineering

Jingjin Wu
Xukun Cheng
Heng Huang
Chao Fang
Ling Zhang
Xiaokang Zhao
Lina Zhang
Jiejie Xing

Frontiers in Energy Research

doi 10.3389/fenrg.2022.937035

3,650 views
29 citations

Original Research

Published on 21 Aug 2025

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

in Power Electronics

Tianren Zhao
Yanhui Zhang
Minghao Wang
Wei Feng
Shengxian Cao
Gong Wang

Frontiers in Electronics

doi 10.3389/felec.2025.1654344

3,745 views
1 citation

Correction

Published on 27 Oct 2025

Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

in Power Electronics

Tianren Zhao
Yanhui Zhang
Minghao Wang
Wei Feng
Shengxian Cao
Gong Wang

Frontiers in Electronics

doi 10.3389/felec.2025.1693752

2,703 views
1 citation

Original Research

Published on 30 May 2022

Battery Life Prediction Based on a Hybrid Support Vector Regression Model

in Smart Grids

Yuan Chen
Wenxian Duan
Zhenhuan Ding
Yingli Li

Frontiers in Energy Research

doi 10.3389/fenrg.2022.899804

3,732 views
10 citations

Articles

Remaining Useful Life Prediction Based on Improved Temporal Convolutional Network for Nuclear Power Plant Valves

Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network

Remaining useful life prediction of lithium-ion batteries using CEEMDAN and WOA-SVR model

Remaining useful life prediction of Lithium-ion batteries based on PSO-RF algorithm

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

Battery Life Prediction Based on a Hybrid Support Vector Regression Model