Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Abstract Accurate forecasting of traffic patterns plays a crucial role in the effective management and planning of urban transportation infrastructure. In particular, predicting the availability of electric vehicle (EV) charging stations is essential for alleviating range anxiety among drivers and f...

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Autors principals:	R. Gunasekaran, Manjunatha B., Anand S., Piyush Kumar Pareek, Sandeep Gupta, Anand Shukla
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2024-11-01
Col·lecció:	Discover Applied Sciences
Matèries:	Traffic prediction Red kite optimization algorithm Berkeley wavelet transform Graph convolutional network Electric vehicle charging station
Accés en línia:	https://doi.org/10.1007/s42452-024-06326-x
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