Abdul, Rahman and Ansari Saleh, Ahmar (2017) Forecasting of primary energy consumption data in the United States: A comparison between ARIMA and Holter-Winters models. AIP Conference Proceedings, 1885 (020163). 020163-1. ISSN 0094243X
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Abstract
This research has a purpose to compare ARIMA Model and Holt-Winters Model based on MAE, RSS, MSE, and RMS criteria in predicting Primary Energy Consumption Total data in the US. The data from this research ranges from January 1973 to December 2016. This data will be processed by using R Software. Based on the results of data analysis that has been done, it is found that the model of Holt-Winters Additive type (MSE: 258350.1) is the most appropriate model in predicting Primary Energy Consumption Total data in the US. This model is more appropriate when compared with Holt-Winters Multiplicative type (MSE: 262260,4) and ARIMA Seasonal model (MSE: 723502,2).
| Item Type: | Article |
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| Subjects: | FMIPA > STATISTIKA - (S1) FMIPA FMIPA > Matematika KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN |
| Depositing User: | Ansari Saleh Ahmar |
| Date Deposited: | 04 Oct 2017 23:24 |
| Last Modified: | 04 Oct 2017 23:24 |
| URI: | http://eprints.unm.ac.id/id/eprint/2925 |
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