Special session at Virtual ISF2021 on Recent Advances in Global Modelling for Forecasting

We’ve been organising an invited session at Virtual ISF2021 on Recent Advances in Global Modelling for Forecasting. Details on part 1 and 2 are here and here

Session 1:

• Time series feature embedding for forecasting with deep learning
  Speaker: James Nguyen

• A Look at the Evaluation Setup of the M5 Forecasting Competition
  Speaker: Hansika Hewamalage

• Dependency Learning Graph Neural Networks for Multivariate Forecasting
  Speaker: Abishek Sriramulu

Session 2:

• A Scalable Ensemble of Global and Local Models for Long-term Energy Demand Forecasting
  Speaker: Kasun Bandara

• Causal Inference Using Global Forecasting Models for Counterfactual Prediction
  Speaker: Priscila Grecov

• A Strong Baseline for Weekly Time Series Forecasting
  Speaker: Rakshitha Godahewa