Perform Time-series Predictions in the R Development Environment by Combining Statistical-based Models with a Decomposition-based Approach

Zeydin PALA; Ahmet Faruk PALA

Makale detayları

Perform Time-series Predictions in the R Development Environment by Combining Statistical-based Models with a Decomposition-based Approach

Yazarlar:

Zeydin PALA | Ahmet Faruk PALA

Yayıncı:

Mus Alparslan University

Ana Başlıklar:

Bilgisayar programlama, programlar ve veriler

Dergi:

Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 2020 Vol.1 Issue 1, pp.55-63

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000797545

Sıklık:

İki Yıllık

eISSN:

2757-5896

Anahtar kelimeler:

Decomposition-based prediiction

Özet:

 

The analysis of a time-series (TS) measured or obtained by observing any area is an important step in characterizing a desired system or a phenomenon and predicting its future behavior. More precisely, predicting the value of an unknown variable is the objective of a predictive model used for TS. While doing this, it analyzes the relationships between past data well and reveals future predictions.
In this study, the prediction method contrasts the decomposition-based approach with non-decomposition-based approaches. In the comparison process, prediction metrics for assessment, such as RMSE, MAE, MPE, and MAPE were used for method achievements and the results obtained were discussed.
The experimental outcomes showed that the proposed decomposition-based approach performs better than non-decomposition-based approach in TS prediction processes.

Makale detayları

Perform Time-series Predictions in the R Development Environment by Combining Statistical-based Models with a Decomposition-based Approach

Yazarlar: Zeydin PALA | Ahmet Faruk PALA

Yayıncı: Mus Alparslan University

Ana Başlıklar: Bilgisayar programlama, programlar ve veriler

Dergi: Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 2020 Vol.1 Issue 1, pp.55-63

Belge Tipi: Makale

Yayın Tarihi: 12/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000797545

Sıklık: İki Yıllık

eISSN: 2757-5896

Decomposition-based prediiction

Sayı

Yazarlar:

Zeydin PALA | Ahmet Faruk PALA

Yayıncı:

Mus Alparslan University

Ana Başlıklar:

Bilgisayar programlama, programlar ve veriler

Dergi:

Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 2020 Vol.1 Issue 1, pp.55-63

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000797545

Sıklık:

İki Yıllık

eISSN:

2757-5896