Smart city planning by estimating energy efficiency of buildings by extreme learning machine
Yükleniyor...
Dosyalar
Tarih
2016-06-20
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
Özet
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.
Açıklama
Anahtar Kelimeler
Energy Efficiency of Building, Extreme Learning Machine, Smart City
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Ertuğrul, Ö F., Kaya, Y. (2016). Smart city planning by estimating energy efficiency of buildings by extreme learning machine. 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG), 20-21 April 2016, İstanbul, Turkey. https://doi.org/10.1109/sgcf.2016.7492420
