LSTM model optimization based on the epoch numbers for forecasting battery electric vehicle charging
To address the scarcity of high-resolution BEV charging data, a novel feature engineering technique was applied, transforming start-stop electricity charging data sourced from the My Electric Avenue project into the count of concurrent charging events. Recognizing the nonlinear, dynamic, and noisy n...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
UPM
2024
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46394/1/LSTM%20Model%20Optimization%20Based%20on%20the%20Epoch%20Numbers%20for%20Forecasting.pdf https://umpir.ump.edu.my/id/eprint/46394/ https://www.persama.org.my/images/Menemui_Matematik/2024/MMv463_75_85.pdf |
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