Despa, Dikpride and Setyawan, FX. Arinto and Delano, Jofanda ARTIFICIAL NEURAL NETWORK APPLICATIONS USE MEASUREMENTS OF ELECTRICAL QUANTITIES TO ESTIMATE ELECTRIC POWER. In: ICETsAS 2018, 18-20 September 2018, Hotel Emersia, Bandar Lampung. (Unpublished)

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Abstract

Prototype measurement of electrical quantities had been built and applied to the H building in faculty of engineering,University of Lampung. Electrical quantities Measurement of electrical quantities had been saved on TIK’s server. However, it had not been used for estimation. Electric power is the electricity that tends to change following the electric load. So, electric power can be predictable or estimation based on measurement data in the past. The method of backpropogation artificial neural networks is a method that have a good approach to nonlinearity. The results of testing the estimation of electric power consumption had been done in the distribution panel of Electrical Engineering and Mechanical Engineering UNILA indicated that this method can be used to estimate electric power consumption for one month ahead with an accuracy of 0,884%. Thus this research can be applied to real-time estimation processes that can be accessed and displayed by web in real-time.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User:	Dr. Eng FX ARINTO SETYAWAN
Date Deposited:	10 May 2019 02:34
Last Modified:	10 May 2019 02:34
URI:	http://repository.lppm.unila.ac.id/id/eprint/9494

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