Data-Driven In-Orbit Current and Voltage Prediction Using Bi-LSTM for LEO Satellite Lithium-Ion Battery SOC Estimation
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
2. CCS Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/9970423/09757867.pdf?arnumber=9757867
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1. Very short-term solar PV generation forecast using SARIMA model: A case study
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5. Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks
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