Despa, Dikpride and Setyawan, F.X. Arinto and Nama, Gigih Forda and Delano, Jofanda (2018) ARTIFICIAL NEURAL NETWORK APPLICATIONS USE MEASUREMENTS OF ELECTRICAL QUANTITIES TO ESTIMATE ELECTRIC POWER. In: 2018 International Conference on Engineering, Technologies, and Applied Sciences (ICETsAS 2018), 18-20 Oktober 2018, Hotel Emersia, Bandar Lampung, Lampung.

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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. Keyword : Prototype measurement, estimation , H building in faculty of engineering University of Lampung, artificial neural networks, backpropogation

Item Type: Conference or Workshop Item (Paper)
Subjects: A General Works > AC Collections. Series. Collected works
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: Gigih Forda Nama
Date Deposited: 16 Nov 2018 03:47
Last Modified: 16 Nov 2018 03:47
URI: http://repository.lppm.unila.ac.id/id/eprint/10121

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