Neural forecasting at scale

Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude +1

We study the problem of efficiently scaling ensemble-based deep neural networks for multi-step time series (TS) forecasting on a large set of time series. Current state-of-the-art…