Causal Effect Estimation with Global Probabilistic Forecasting: A Case
Study of the Impact of Covid-19 Lockdowns on Energy Demand

v1v2 (latest)

Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand

19 September 2022

Ankitha Nandipura Prasanna

Priscila Grecov

Angela Dieyu Weng

Christoph Bergmeir

ArXiv (abs)PDF HTML

Papers citing "Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand"

6 / 6 papers shown

Title
Criteria for Classifying Forecasting Methods Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 79 179 0 07 Dec 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 140 94 0 21 Mar 2022
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 96 62 0 23 Dec 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 122 120 0 06 Aug 2020
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality Pablo Montero-Manso Rob J. Hyndman AI4TS 89 138 0 02 Aug 2020
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 101 2,137 0 13 Apr 2017