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Wolfgang Jalma
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Computer Science & IT Control & Systems Engineering Engineering

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Maximum Power Point Tracking pada Sel Surya menggunakan Extreme Learning Machine Wolfgang Jalma
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (2017): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1226.727 KB) | DOI: 10.31937/sk.v9i2.701

Abstract

Maximum Power Point Tracking is a method to obtain maximum harvest of PV solar cell. Due to PV nonlinearity, a lot of novel approach has been. One of the most prominence is neural network, that usually can solve this nonlinearity formulation, although needs relatively longer time in order to train, making it unfeasible for real implementation. This research tried to accelerate the training of the neural network based MPPT, using Extreme Learning Machine, with quite promising results. Index Terms—Maximum Power Point Tracking, Neural Network, PV Solar Cell, Extreme Learning machine.
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