Short-Term Load Forecasting of Electric Vehicle Charging Stations Accounting for Multifactor IDBO Hybrid Models
The charging behavior of electric vehicle users is highly stochastic, which makes the short-term prediction of charging load at electric vehicle charging stations difficult. In this paper, a data-driven hybrid model optimized by the improved dung beetle optimization algorithm (IDBO) is proposed to a...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
MDPI AG
2024-06-01
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| Colección: | Energies |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1996-1073/17/12/2831 |