Short-term Solar Power Forecasting

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dc.contributor.advisorMahdy Rahman Chowdhury
dc.contributor.authorMd. Saifullah Mehedi
dc.contributor.authorSharif Sefatul Muntasir
dc.contributor.authorMd. Imtiaj Hossain
dc.contributor.authorMd. Al Amin
dc.contributor.id1512075043
dc.contributor.id1511087043
dc.contributor.id1511485643
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2024-05-14
dc.date.accessioned2024-05-14T10:11:38Z
dc.date.available2024-05-14T10:11:38Z
dc.date.issued2019
dc.description.abstractThe main aim of our project is to forecast solar (PV) Photovoltaic output power for the short term depending on a few parameters that are related to solar power generation. In our project, we have investigated and implemented a short term forecasting approach to predict solar PV power for 5, 10 and 15 minutes horizon and at every sampling step. Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. Solar PV is a device that converts the energy of sunlight into electricity based on radiation. In power systems, PV power forecasting is crucial as this helps to predict load and generation. Therefore, the accuracy of forecasting is of great significance for the operational and managerial loading of a utility company.
dc.description.degreeUndergraduate
dc.identifier.cd600000137
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/720
dc.language.isoen
dc.publisherNorth South University
dc.rights©NSU library
dc.titleShort-term Solar Power Forecasting
oaire.citation.endPage50
oaire.citation.startPage1
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