LSTM model error distribution of battery electric vehicle charging load demand
Stability of electricity demand forecast accuracy from Battery Electric Vehicles (BEV) in production environment is studied. This study utilizes Long Short-Term Memory (LSTM) neural networks, incorporating a fixed origin procedure to split all training data to account for daily model updates, to sim...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
Springer
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46391/1/LSTM%20Model%20Error.pdf https://umpir.ump.edu.my/id/eprint/46391/ https://doi.org/10.1007/978-981-96-8093-1_21 |
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