N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
international conference on learning representations, 2020.
We focus on solving the univariate times series point forecasting problem using deep learning. We propose a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers. The architecture has a number of desirable properties, being interpretable, applicable without modification to a ...More