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dc.contributor.authorÇolak, İlhami
dc.contributor.authorSağıroğlu, Şeref
dc.contributor.authorYeşilbudak, Mehmet
dc.contributor.authorKabalcı, Ersan
dc.contributor.authorBülbül, H. İbrahim
dc.date.accessioned2019-01-13T18:08:05Z
dc.date.available2019-01-13T18:08:05Z
dc.date.issued2015
dc.identifier.isbn978-1-4799-9982-8
dc.identifier.issn2377-6897
dc.identifier.urihttp://hdl.handle.net/11363/845
dc.description.abstractThis study concentrates on multi-time series and time scale modeling in wind speed and wind power forecasting. Different statistical models along with different time horizons are analyzed and evaluated broadly and comprehensively. For this reason, the entire study is divided into two main scientific parts. In case of making a general overview of the entire study, moving average (MA), weighted moving average (WMA), autoregressive moving average (ARMA) and autoregressive integrated moving average (ARIMA) methods are employed for multi-time series modeling. Very short-term, short-term, medium-term and long-term scales are utilized for multi-time scale modeling. Specifically, in this part of the entire study, the mentioned statistical models are presented in detail and 10-min and 1-h time series forecasting models are created for the purpose of achieving 10-min and 2-h ahead forecasting, respectively. Many useful outcomes are accomplished for very short-term and short-term wind speed and wind power forecasting.en_US
dc.language.isoengen_US
dc.publisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USAen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectResearch Subject Categories::TECHNOLOGY::Engineering mechanics::Mechanical and thermal engineering::Mechanical energy engineeringen_US
dc.titleMulti-Time Series and -Time Scale Modeling for Wind Speed and Wind Power Forecasting Part I: Statistical Methods, Very Short-Term and Short-Term Applicationsen_US
dc.typeconferenceObjecten_US
dc.relation.ispartofInternational Conference on Renewable Energy Research and Applicationsen_US
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.identifier.startpage209en_US
dc.identifier.endpage214en_US
dc.relation.publicationcategoryKategori Yoken_US


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