Estimation of Short-Term Power Load of a Small House by Generalized Behavioural Learning Method
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Power load estimation, especially short-term power load estimation, plays an important role in the management of a power system in terms of system security and electricity costs. Therefore, estimation of short-term power load accurately is a popular research issue. In this paper, the generalized behavioral learning method (GBLM), a method developed based on human's behavioral learning theories, was employed to estimate short-term power load. The datasets that belong to houses B and C were employed in the estimation process. Achieved results by GBLM and extreme learning machine (ELM) ELM were compared. It is showed that GBLM estimates short-term power load with a higher success rate than ELM.
Açıklama
5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG) -- APR 19-21, 2017 -- Istanbul, TURKEY
Anahtar Kelimeler
Generalized Behavioral Learning, Extreme Learning Machine, Power Load Estimation, Small House, Short-Term Power Load
Kaynak
2017 5th International Istanbul Smart Grid and Cities Congress and Fair (Icsg)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
