Estimation of short-term power load of a small house by generalized behavioural learning method
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CitationErtuğrul, 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.2017.7947607
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.
Source2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)
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