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

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.