Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction
ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of charging if real‐time p...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2026-05-01
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| Col·lecció: | Energy Science & Engineering |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1002/ese3.70497 |
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