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Forecasting of primary energy consumption data in the United States: A comparison between ARIMA and Holter-Winters models

Main Authors: Abdul, Rahman, Ansari Saleh, Ahmar
Format: Article PeerReviewed Book
Bahasa: eng
Terbitan: AIP Publishing , 2017
Subjects:
STATISTIKA - (S1)
FMIPA
Matematika
KARYA ILMIAH DOSEN
Online Access: http://eprints.unm.ac.id/2925/1/AIP_E5002357.pdf
http://eprints.unm.ac.id/2925/
http://aip.scitation.org/doi/abs/10.1063/1.5002357
ctrlnum 2925
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://eprints.unm.ac.id/2925/</relation><title>Forecasting of primary energy consumption data in the United States: A comparison between ARIMA and Holter-Winters models</title><creator>Abdul, Rahman</creator><creator>Ansari Saleh, Ahmar</creator><subject>STATISTIKA - (S1)</subject><subject>FMIPA</subject><subject>Matematika</subject><subject>KARYA ILMIAH DOSEN</subject><description>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).</description><publisher>AIP Publishing</publisher><date>2017-09</date><type>Journal:Article</type><type>PeerReview:PeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://eprints.unm.ac.id/2925/1/AIP_E5002357.pdf</identifier><identifier> 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 </identifier><relation>http://aip.scitation.org/doi/abs/10.1063/1.5002357</relation><relation>10.1063/1.5002357</relation><recordID>2925</recordID></dc>
language eng
format Journal:Article
Journal
PeerReview:PeerReviewed
PeerReview
Book:Book
Book
author Abdul, Rahman
Ansari Saleh, Ahmar
title Forecasting of primary energy consumption data in the United States: A comparison between ARIMA and Holter-Winters models
publisher AIP Publishing
publishDate 2017
topic STATISTIKA - (S1)
FMIPA
Matematika
KARYA ILMIAH DOSEN
url http://eprints.unm.ac.id/2925/1/AIP_E5002357.pdf
http://eprints.unm.ac.id/2925/
http://aip.scitation.org/doi/abs/10.1063/1.5002357
contents 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).
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institution Universitas Negeri Makassar
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institution_type library:university
library
library Perpustakaan Universitas Negeri Makassar
library_id 562
collection Eprints Universitas Negeri Makassar
repository_id 3399
subject_area Karya Umum
Rekayasa
city KOTA MAKASSAR
province SULAWESI SELATAN
repoId IOS3399
first_indexed 2017-10-20T00:00:42Z
last_indexed 2017-10-20T00:00:42Z
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