A Review of Machine Learning Methods for Long-Term Time Series Prediction

Milan P Ptotic,Milos B Stojanovic,Predrag M Popovic

doi:10.1109/icest55168.2022.9828618

A Review of Machine Learning Methods for Long-Term Time Series Prediction

Milan P Ptotic, Milos B Stojanovic + Show 1 more

https://doi.org/10.1109/icest55168.2022.9828618

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Publication Date: Jun 16, 2022

Citations: 1

Affiliation: Technical College of Applied Sciences, University of Nis

#Methods For Time Series Prediction #Review Of Machine Learning Methods + Show 8 more

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Abstract

This paper analyses some of the fundamental machine learning methods for time series predictions. Standard prediction methods, such as the Box-Jenkins ARIMA approach, are discussed, as well as the supervised machine learning methods where the focus is on the artificial neural network and the support vector machine. Overall, five strategies used for long-term prediction are compared and some aspects of future research are discussed.

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