Prediction of EV Charging Behavior Using Machine Learning

As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, is the strain on power grid infrastructure that comes with large-scale EV dep...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.111576-111586
Hauptverfasser:	Shahriar, Sakib, Al-Ali, A. R., Osman, Ahmed H., Dhou, Salam, Nijim, Mais
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks charging behavior Electric power grids Electric vehicle charging Electric vehicles Electric vehicles (EVs) Energy consumption Greenhouse gases Machine learning Machine learning algorithms Meteorological data Performance prediction Prediction algorithms Predictive models Radio frequency Scheduling smart city smart transportation Support vector machines Traffic information
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