Multi-Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model

Multi-Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model

We propose a forecasting technique based on multi-feature data fusion to enhance the accuracy of an electric vehicle (EV) charging station load forecasting deep-learning model. The proposed method uses multi-feature inputs based on observations of historical weather (wind speed, temperature, and hum...

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Dettagli Bibliografici
Autori principali:	Prince Aduama, Zhibo Zhang, Ameena S. Al-Sumaiti
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2023-01-01
Serie:	Energies
Soggetti:	data fusion deep learning electric vehicle charging stations multi-feature load forecasting
Accesso online:	https://www.mdpi.com/1996-1073/16/3/1309

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