Ertuğrul, Ömer FarukTağluk, Mehmet Emin2019-07-042019-07-042017-06-15Ertuğrul, Ö F., Tağluk, M. E. (2017). Estimation of short-term power load of a small house by generalized behavioural learning method. 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG), 19-21 April 2017, İstanbul, Turkey. https://doi.org/10.1109/sgcf.2017.7947607978-1-5090-5938-6978-1-5090-5939-3https://doi.org/10.1109/sgcf.2017.7947607https://hdl.handle.net/20.500.12402/2187Power 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.eninfo:eu-repo/semantics/closedAccessAttribution-NonCommercial-ShareAlike 3.0 United StatesExtreme Learning MachineGeneralized Behavioral LearningPower Load EstimationShort-Term Power LoadSmall HouseConference ObjectN/AN/A