Predictive Performance Evaluation of ARIMA and Hybrid ARIMA-LSTM Models for Particulate Matter Concentration

Predictive Performance Evaluation of ARIMA and Hybrid ARIMA-LSTM Models for Particulate Matter Concentration

This study provides an objective evaluation of prediction performance models for particulate matter policy for industrial stakeholders by comparing the ARIMA and Hybrid ARIMA-LSTM models for predicting air quality data from the industrial environment. In the case of PM 1.0 concentration, we have an...

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Bibliographic Details
Main Authors: Johanes Dian Kurniawan, Hanna Arini Parhusip, Suryasatria Trihandaru
Format: Article
Language:English
Published: Department of Informatics, UIN Sunan Gunung Djati Bandung 2024-12-01
Series:JOIN: Jurnal Online Informatika
Subjects:
arima
hybrid arima-lstm
particulate matter
prediction
Online Access:https://join.if.uinsgd.ac.id/index.php/join/article/view/1318
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