Smart City Planning by Estimating Energy Efficiency of Buildings by Extreme Learning Machine
dc.contributor.author | Ertugrul, Omer Faruk | |
dc.contributor.author | Kaya, Yilmaz | |
dc.date.accessioned | 2024-12-24T19:23:59Z | |
dc.date.available | 2024-12-24T19:23:59Z | |
dc.date.issued | 2016 | |
dc.department | Siirt Üniversitesi | |
dc.description | 4th International Istanbul Smart Grid Congress and Fair (ICSG) -- APR 20-21, 2016 -- Istanbul, TURKEY | |
dc.description.abstract | Estimation of energy efficiency is one of the major issues in smart city planning. Although, there are some papers about estimation of energy efficiency of the buildings, there is still a requirement of an effective method that can be used in all climatic zones. Therefore, extreme learning method (ELM), which is a training method for single hidden layer neural network, was employed in the dataset that contains the properties of buildings such as shape, area and height and cooling and heating loads were calculated. Achieved results by ELM were compared with the results in the literature and the results obtained by some popular machine learning methods such as artificial neural network, linear regression, and etc. Obtained results by ELM found acceptable. | |
dc.description.sponsorship | Republ Turkey, Minist EU Affairs,Turkiye Cumhuriyeti Kultur Turizm Bakanligi,KOSGEB,TEDAS,TEIAS,Istanbul Buyuksehir Belediyesi,Turkish Electro Technol,Energy Business Council, Foreign Econ Relat Board,Istanbul Kanalizasyon Idaresi,BOTAS,IGDAS Gokyuzuyle Arkadas,Istanbul Ticaret Odasi,Istabul Sanayi Odasi,UHE,UFI,Elder,GAZBIR,TENVA,Turk Sanayici Isadamlari VAKFI,Organize Sanayi Bolgeleri Dernegi,Teknoloji Ar Ge Bilim Inouasyon Dernegi,TURKCELL,Vodafone,LUNA,STATUEAZ,SABAH,HITACHI,KOHLER,ORACLE,aselsan,ERICSSON,NETAS,SIEMENS,Microsoft,best,HHB EXPO,Republ Turkey, Minist Sci Ind & Technol,Republ Turkey, Minist Environm & Urbanisat,Republ Turkey, Minist Energy & Nat Resources,EPDK, Republ Turkey,Istanbul Metropolitan Municipal,Ugetam,IEEE SMARTGRID,IEEE Power & Energy Soc | |
dc.identifier.endpage | 51 | |
dc.identifier.isbn | 978-1-5090-0866-7 | |
dc.identifier.scopus | 2-s2.0-84978657369 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 47 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12604/5795 | |
dc.identifier.wos | WOS:000389660400008 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.relation.ispartof | 2016 4th International Istanbul Smart Grid Congress and Fair (Icsg) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241222 | |
dc.subject | Smart City | |
dc.subject | Energy Efficiency of Building | |
dc.subject | Extreme Learning Machine | |
dc.title | Smart City Planning by Estimating Energy Efficiency of Buildings by Extreme Learning Machine | |
dc.type | Conference Object |