Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies

Basit Öğe Kaydı
dc.contributor.authorSözen, Adnan
dc.contributor.authorGülseven, Zafer
dc.contributor.authorArcaklioglu, Erol
dc.date.accessioned2020-06-25T17:43:34Z
dc.date.available2020-06-25T17:43:34Z
dc.date.issued2007
dc.descriptionARCAKLIOGLU, Erol/0000-0001-8073-5207
dc.description.abstractRecently, global warming and its effects have become one of the most important themes in the world. Under the Kyoto Protocol, the EU has agreed to an 8% reduction in its greenhouse gas (GHG) emissions by 2008-2012. The GHG emissions (total GHG, CO2, CO, SO2, NO2, E (emissions of non-methane volatile organic compounds)) covered by the Protocol are weighted by their global warming potentials (GWPs) and aggregated to give total emissions in CO2 equivalents. The main subject in this study is to obtain equations by the artificial neural network (ANN) approach to predict the GHGs of Turkey using sectoral energy consumption. The equations obtained are used to determine the future level of the GHG and to take measures to control the share of sectors in total emission. According to ANN results, the maximum mean absolute percentage error (MAPE) was found as 0.147151, 0.066716, 0.181901, 0.105146, 0.124684, and 0.158157 for GHG, SO2, NO2, CO, E, and CO2, respectively, for the training data with Levenberg-Marquardt (LM) algorithm by 8 neurons. R-2 values are obtained very close to 1. Also, this study proposes mitigation policies for GHGs. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.enpol.2007.08.024
dc.identifier.endpage6505en_US
dc.identifier.issn0301-4215
dc.identifier.issn1873-6777
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-35648929481
dc.identifier.scopusqualityQ1
dc.identifier.startpage6491en_US
dc.identifier.urihttps://doi.org10.1016/j.enpol.2007.08.024
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3806
dc.identifier.volume35en_US
dc.identifier.wosWOS:000251630100043
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofEnergy Policy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgreenhouse gas emissionsen_US
dc.subjectsectoral energy consumptionen_US
dc.subjectmitigationen_US
dc.titleForecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policiesen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies.pdf
Boyut:
484.98 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu