An innovative model for capturing seasonal patterns of train passenger movement using exogenous variables and fuzzy time series hybridization

Author:

Devianto DodiORCID,Permana Dony,Arif Erman,Afrimayani Afrimayani,Yanuar FerraORCID,Maiyastri Maiyastri,Yollanda Mutia

Publisher

Elsevier BV

Reference24 articles.

1. Comparative analysis of electricity market prices based on different forecasting methods;Abunofal;IEEE Madr. Power,2021

2. A new seasonal fuzzy time series method based on the multiplicative neuron model and sarima;Aladag;Hacet. J. Math. Stat.,2012

3. Systematic literature review on collaborative sustainable transportation: overview, analysis and perspectives;Aloui;Transp. Res. Interdiscip. Perspect.,2021

4. A novel stochastic fuzzy time series forecasting model based on a new partition method;Alyousifi;IEEE Access,2021

5. Modeling and forecasting daily hotel demand: a comparison based on sarimax, neural networks, and garch models;Ampountolas;Forecasting 2021,2021

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