Long Short-Term Memory Approach to Predict Battery SOC
Estimating the ‘State of Charge’ (SOC) is a complex endeavour. Data-driven techniques for SOC estimation tend to offer higher prediction accuracy compared to traditional methods. With the progression of Artificial Intelligence (AI), machine learning has found extensive applications across various fi...
| Published in: | Revue des Énergies Renouvelables |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Renewable Energy Development Center (CDER)
2024-12-01
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| Subjects: | |
| Online Access: | https://revue.cder.dz/index.php/rer/article/view/1311 |