The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles

The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles

Electric vehicles are fully ecological means of transport only when the electricity required to charge them comes from Renewable Energy Sources (RES). When building a photovoltaic carport, the complex of its functions must consider the power consumption necessary to charge an electric vehicle. The p...

Full description

Bibliographic Details
Main Authors: Małek Arkadiusz, Marciniak Andrzej
Format: Article
Language:English
Published: De Gruyter 2021-02-01
Series:Open Engineering
Subjects:
photovoltaic system
electric vehicle
deep recurrent neural networks
machine learning
numerical calculation
applications
Online Access:https://doi.org/10.1515/eng-2021-0034

Internet

https://doi.org/10.1515/eng-2021-0034

Similar Items