The article discusses using deep learning to automatically identify the best model for analyzing time series data. The researchers developed three convolutional neural network architectures to improve upon the traditional auto-ARIMA model. Through experiments, they found that the deep learning models performed better in determining the orders for ARIMA and SARIMA models compared to the auto-ARIMA model.