2024
DOI: 10.3390/app14167122
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A Hybrid Forecasting Structure Based on Arima and Artificial Neural Network Models

Adil Atesongun,
Mehmet Gulsen

Abstract: This study involves the development of a hybrid forecasting framework that integrates two different models in a framework to improve prediction capability. Although the concept of hybridization is not a new issue in forecasting, our approach presents a new structure that combines two standard simple forecasting models uniquely for superior performance. Hybridization is significant for complex data sets with multiple patterns. Such data sets do not respond well to simple models, and hybrid models based on the i… Show more

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