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Davila-Frias, Alex. Diesel price prediction models with traditional time-series algorithms and neural networks. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Diesel price prediction models with traditional time-series algorithms and neural networks
Name: Sumet Muanchang
Organization :
King Mongkut's University of Technology Thonburi. Graduate School of Management and Innovation
Email :
sumet.muanchang@gmail.com
Name: Piyanit Wepulanon
Organization :
King Mongkut's University of Technology Thonburi. Computer Engineering Department
Email :
piyanit.wep@kmutt.ac.th
Name: Phattara Khumprom
Organization :
King Mongkut's University of Technology Thonburi. Graduate School of Management and Innovation
Name: Davila-Frias, Alex
Organization :
Escuela Politécnica Nacional. Facultad de Ciencias Administrativas
LCSH:
Diesel fuel
LCSH:
Time-series analysis
LCSH:
Forecasting
LCSH:
Machine learning
Abstract:
Diesel fuel price is generally considered to be one
of the core factors that contributes to the cost of transportation
and logistics activities. However, stand-alone time-series
algorithms without considering other related logistics attributes
may not be sufficient to construct well-defined diesel priceprediction
models. This work used artificial Deep Neural
Networks (DNNs) to construct prediction models with
consideration of the Road Freight Transport Index (RFTI) and
the Baltic Dry Index (BDI) as model attributes. The results from
regression models with BDI and RFTI attributes were
compared against models employing traditional time-series
algorithms, such as moving average, Autoregressive Integrated
Moving Average (ARIMA), exponential smoothing, and
seasonal forecasting. Proposed diesel price prediction models
with consideration of BDI and RFTI can perform better than
traditional time series in the end.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-26
Issued:
2025-05-26
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.246-252). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
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Sumet Muanchang
| Title | Contributor | Type |
|---|---|---|
| Diesel price prediction models with traditional time-series algorithms and neural networks
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sumet Muanchang;Piyanit Wepulanon;Phattara Khumprom;Davila-Frias, Alex | บทความ/Article |
Piyanit Wepulanon
| Title | Contributor | Type |
|---|---|---|
| Development of the topic tagging system for Thai and English-translated web contents
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thitiworada Amsa-nguan;Nawakarn Leerattanachote;Ponlawat Suparat;Piyanit Wepulanon;Santitham Prom-on | บทความ/Article | |
| Diesel price prediction models with traditional time-series algorithms and neural networks
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sumet Muanchang;Piyanit Wepulanon;Phattara Khumprom;Davila-Frias, Alex | บทความ/Article |
Phattara Khumprom
| Title | Contributor | Type |
|---|---|---|
| Diesel price prediction models with traditional time-series algorithms and neural networks
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sumet Muanchang;Piyanit Wepulanon;Phattara Khumprom;Davila-Frias, Alex | บทความ/Article |
Davila-Frias, Alex
| Title | Contributor | Type |
|---|---|---|
| Diesel price prediction models with traditional time-series algorithms and neural networks
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sumet Muanchang;Piyanit Wepulanon;Phattara Khumprom;Davila-Frias, Alex | บทความ/Article |