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dc.contributor.authorCouto da Silva, Ana Paula
dc.contributor.authorRenga, Daniela
dc.contributor.authorMeo, Michela
dc.contributor.authorAjmone Marsan, Marco 
dc.date.accessioned2021-07-13T09:31:33Z
dc.date.available2021-07-13T09:31:33Z
dc.date.issued2018-03
dc.identifier.issn2473-2400
dc.identifier.urihttp://hdl.handle.net/20.500.12761/472
dc.description.abstractIn this paper we focus on the design of the power system for off-grid cellular base stations powered by a photovoltaic (PV) solar panel and a battery. Several papers already tackled this problem, with different approaches, modeling either the day-to-day behavior, or the hourly dynamics. In addition, the meteorological characteristics were modeled using a variable number of levels. Different approaches produced different results, hardly comparable. In this paper, we discuss the choice of parameter quantization for time, weather, and energy storage, with the objective of deriving guidelines for the development of accurate and credible models that can support the power system design. Our investigation shows that quantization has an important impact on the mathematical model outputs. Hence, quantization must be carefully taken into account, to achieve a correct dimensioning of the power system.
dc.language.isoeng
dc.publisherIEEE
dc.titleThe Impact of Quantization on the Design of Solar Power Systems for Cellular Base Stationsen
dc.typejournal article
dc.journal.titleIEEE Transaction on Green Communications and Networking
dc.type.hasVersionAM
dc.rights.accessRightsopen access
dc.volume.number2
dc.issue.number1
dc.identifier.doi10.1109/TGCN.2017.2762402
dc.page.final274
dc.page.initial260
dc.subject.keywordBase stations
dc.subject.keywordRenewable energy sources
dc.subject.keywordMarkov processes
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1700


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