Performance Analysis and Implementation of LSTM and GRU based on Synthetic Data-Reference-Cited by-同舟云学术

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Performance Analysis and Implementation of LSTM and GRU based on Synthetic Data

Published:2024-03-14 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
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Author:

Rahul Annamalai K.¹,Jha Arya¹,Deepa K.¹,Tresa Sangeetha S.V.²,Chaitanya L³,Channegowda Janamejaya⁴

Affiliation:

1. Amrita School Of Engineering, Amrita Vishwa Vidyapeetham,Dept. of Electrical and Electronics Engineering,Bengaluru,India

2. University of Technology and Applied Sciences,Department of Engineering,AlMusanna,Oman

3. BMS College of Engineering,Department of Electrical and Electronics Engineering,Bengaluru,India

4. L & T Technology Services,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502389/10502407/10502416.pdf?arnumber=10502416

Reference18 articles.

1. State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

2. Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art

3. State of Health Estimation using Machine Learning for Li-ion battery on Electric Vehicles

4. State-of-Health Estimation of Li-ion Batteries in Electric Vehicle Using IndRNN under Variable Load Condition

5. Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine

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