Perbandingan Peramalan Beban Listrik Jangka Pendek Menggunakan Support Vector Machine Dan Jaringan Syaraf Tiruan Perambatan Balik

  • I Nyoman Setiawan Universitas Udayana
  • Widyadi Setiawan Universitas Udayana

Abstract

Penelitian ini membahas pemakaian Jaringan Syaraf Tiruan (JST) Perambatan Balik dan Support Vector Machine (SVM) untuk peramalan kebutuhan beban listrik. Variabel yang dipakai dalam JST dan SVM adalah data beban listrik wilayah Bali. Hasil peramalan memiliki persentase kesalahan rata-rata absolut 5,71% untuk metode JST dan 3,53% untuk metode SVM. Metode JST mempunyai rata-rata eror minimal 0,35% dan maksimal 17,34%. Metode SVM mempunyai rata-rata eror minimal 0,16% dan maksimal 10,53%. Metode SVM memiliki keakuratan lebih baik dibandingkan dengan metode JST.

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Author Biographies

I Nyoman Setiawan, Universitas Udayana
Jurusan Teknik Elektro, Universitas Udayana
Widyadi Setiawan, Universitas Udayana
Jurusan Teknik Elektro, Universitas Udayana

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How to Cite
SETIAWAN, I Nyoman; SETIAWAN, Widyadi. Perbandingan Peramalan Beban Listrik Jangka Pendek Menggunakan Support Vector Machine Dan Jaringan Syaraf Tiruan Perambatan Balik. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 12, n. 2, dec. 2013. ISSN 2503-2372. Available at: <https://ojs.unud.ac.id/index.php/jte/article/view/15549>. Date accessed: 04 feb. 2023.

Keywords

jaringan syaraf tiruan, perambatan balik, support vector machine, peramalan beban