Authors:

I Putu Eka N. Kencana, Ketut Jayanegara

Abstract:

“Many methods have been applied in forecasting technics, varied fromStatistical Forecasting Methods (SFM) or Mathematical Modelling and ForecastingMethods (MMFM) to Artificial Neural Methods (ANM). This research aimedto implement and evaluate performance of Artificial Neural Network (ANN), onemethod in ANM group; for forecasting electricity consumption by household inProvince of Bali. This research used electricity consumption data from January2001 to December 2009 as basis for network’s training and validating its result.The actual data from January to December 2010 is used to evaluate the performanceof network prediction. Research shows the Mean Absolute Prediction Error(MAPE) of the ANN’s prediction is 7,56%.”

Keywords

Keyword Not Available

Downloads:

Download data is not yet available.

References

References Not Available

PDF:

https://jurnal.harianregional.com/jmat/full-2919

Published

2021-11-09

How To Cite

EKA N. KENCANA, I Putu; JAYANEGARA, Ketut. EVALUASI KINERJA JARINGAN SYARAF TIRUAN PADA PERAMALAN KONSUMSI LISTRIK KELOMPOK TARIF RUMAH TANGGA.Jurnal Matematika, [S.l.], v. 2, n. 1, nov. 2012. ISSN 2655-0016. Available at: https://jurnal.harianregional.com/jmat/id-2919. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JMAT.2012.v02.i01.p22.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 2 No 1 (2012)

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License