Comparing various combined techniques at seasonal autoregressive integrated moving average (SARIMA) for electrical load forecasting
The objective of this study is to investigate the accuracy of forecasting electrical consumption
using various combined techniques at the seasonal autoregressive integrated moving …
using various combined techniques at the seasonal autoregressive integrated moving …
Forecasting Number of Train Passengers Using Time Series Regression Integrated Calendar Variation and Covid 19 Intervention
M Silfiani, FN Hayati - Jurnal Matematika Sains dan Teknologi, 2024 - jurnal.ut.ac.id
The purpose of this study is to obtain a forecasting model for the number of train passengers
using time series regression integrated with variations in the Islamic calendar and the effects …
using time series regression integrated with variations in the Islamic calendar and the effects …
MODEL GABUNGAN (ANSAMBEL) SARIMA DAN JARINGAN SARAF TIRUAN UNTUK PERAMALAN BEBAN LISTRIK
M Silfiani - VARIANCE: Journal of Statistics and Its Applications, 2023 - ojs3.unpatti.ac.id
This study aims to investigate the efficacy of employing artificial neural networks in
conjunction with a seasonal autoregressive integrated moving average (SARIMA) ensemble …
conjunction with a seasonal autoregressive integrated moving average (SARIMA) ensemble …