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

cris.lastimport.scopus2024-09-19T01:31:14Z
dc.abstract.enElectric 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 performance of the photovoltaic system depends on the season and on the intensity of the sunlight, which in turn depends on the geographical conditions and the current weather. This means that even a large photovoltaic system is not always able to generate the amount of energy required to charge an electric vehicle. The problem discussed in the article is maximization of the share of renewable energy in the process of charging of electric vehicle batteries. Deep recurrent neural networks (RNN) trained on the past data collected by performance monitoring system can be applied to predict the future performance of the photovoltaic system. The accuracy of the presented forecast is sufficient to manage the process of the distribution of energy produced from renewable energy sources. The purpose of the numerical calculations is to maximize the use of the energy produced by the photovoltaic system for charging electric cars.
dc.affiliationTransportu i Informatyki
dc.contributor.authorArkadiusz Małek
dc.contributor.authorAndrzej Marciniak
dc.date.accessioned2024-07-04T09:13:49Z
dc.date.available2024-07-04T09:13:49Z
dc.date.issued2021
dc.identifier.doi10.1515/eng-2021-0034
dc.identifier.issn2391-5439
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/355
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofOpen Engineering
dc.rightsCC-BY
dc.subject.enPhotovoltaic system
dc.subject.enElectric vehicle
dc.subject.enDeep re current neural networks
dc.subject.enMachine learning
dc.subject.enNumerical cal culation
dc.subject.enApplications
dc.titleThe use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume11