Work

LSTM-Based Remaining Useful Life Prediction for Batteries: A Deep Learning Approach

Year: 2025

Type: conference-paper

Source: International Conference in Advances in Power, Signal, and Information Technology (APSIT)

DOI: 10.1109/apsit63993.2025.11086336

Authors: V Ashok Gajapathi Raju, Subham Samantaray, Janmenjoy Nayak, Manohar Mishra

Institutions: Siksha O Anusandhan University, Maharaja Sriram Chandra Bhanja Deo University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4412624003

FWCI: 3.51

Cites: 14

Cited by: 2

Related to: 10