A weather-based forecasting system for the solar power plants in the Konya region

Basit Öğe Kaydı
dc.contributor.authorYavut, Cankat
dc.contributor.authorBotsali, Ahmet Reha
dc.date.accessioned2024-02-23T14:29:39Z
dc.date.available2024-02-23T14:29:39Z
dc.date.issued2022
dc.departmentNEÜen_US
dc.description.abstractIncreasing energy demand along with decreasing environmental resources necessitates looking for alternative energy sources. With this respect, solar power has gained considerable importance over recent years. This study analyzes the forecasting problem for the amount of electric power generated by solar power plants. The amount of electric power generated by solar power plants is not constant and changes depending on several variables such as the weather conditions, seasonal effects, type of solar panel, etc. On the other hand, to meet the electric power demand and minimize electric transfer cost, forecasting the electric power generated by solar power plants is critical. We test several neural network models with various weather-related input parameters. Among these parameters, we choose the most promising ones (radiation, humidity, how; month) for further analysis to forecast the electric power generated by solar power plants located in the Konya region. Our test results over the past data show that it is possible to forecast the electric power generated by solar panels in the Konya region with less than 5% error.en_US
dc.identifier.doi10.14744/sigma.2022.00012
dc.identifier.endpage149en_US
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85160253538en_US
dc.identifier.startpage144en_US
dc.identifier.urihttps://doi.org/10.14744/sigma.2022.00012
dc.identifier.urihttps://hdl.handle.net/20.500.12452/14804
dc.identifier.volume40en_US
dc.identifier.wosWOS:000777898300008en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherYildiz Technical Univen_US
dc.relation.ispartofSigma Journal Of Engineering And Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSolar Energyen_US
dc.subjectForecastingen_US
dc.subjectNeural Networksen_US
dc.titleA weather-based forecasting system for the solar power plants in the Konya regionen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu