Or maybe you want to forecast your sales amount for ... In this article I'll show you how to do time series regression using a neural network, with "rolling window" data, coded from scratch, using ...

This study is an exploration of where we can expect added value for forecasting and nowcasting time series in official statistics by using deep learning techniques, as an alternative to classic time ...

We present a method for conditional time series forecasting based on an adaptation of the recent deep convolutional WaveNet architecture. The proposed network contains stacks of dilated convolutions ...

A promising approach to address these challenges involves combining physics, atmospheric ... forecasting skills. They focused on coupling physical variables through graph neural networks (GNN ...