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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/46096
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dc.contributor.authorElzein Imad-
dc.date.accessioned2021-12-01T12:37:32Z-
dc.date.available2021-12-01T12:37:32Z-
dc.date.issued2021-
dc.identifier.citationElzein Imad. Analysis of artificial neural network in a photovoltaic system to extract the maximum power in a photovoltaic based system paradigm / Elzein Imad // Информационные технологии и системы 2021 (ИТС 2021) = Information Teсhnologies and Systems 2021 (ITS 2021) : материалы международной научной конференции, Минск, 24 ноября 2021 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2021. – С. 63–65.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/46096-
dc.description.abstractWhen implementing a photovoltaic system, different parameters play an integral part in enhancing the extraction of the maximum power of a solar setup. One of the parameters is the maximum power tracking (MPPT) algoritm which is used to track and extract the maximum power Pmax when we refer to PV energy productivity. In the research, we will introduce a new scheme of tracking the Pmax using an artificial neural network (ANN) in different dynamic environmental conditions. The proposed artificial neural network (ANN) based PV model is going to be applied and utilized with a perturb and observe (P&O) algoritm. The improvement of using ANN in PV system world improve its ability to detect MPP at a short period of time as compared to other avaible methods.ru_RU
dc.language.isoruru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectartificial neural networkru_RU
dc.subjectphotovoltaic system paradigmru_RU
dc.titleAnalysis of artificial neural network in a photovoltaic system to extract the maximum power in a photovoltaic based system paradigmru_RU
dc.typeСтатьяru_RU
Appears in Collections:ИТС 2021

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