Hierarchical forecast reconciliation with machine learning

3 June 2020

Papers citing "Hierarchical forecast reconciliation with machine learning"

9 / 9 papers shown

Title
Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning Jeroen Rombouts Marie Ternes Ines Wilms 22 3 0 14 Feb 2024
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure Lucas English M. Abolghasemi AI4CE 69 4 0 07 Aug 2023
Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions Paul Ghelasi F. Ziel AI4TS 33 2 0 25 May 2023
Detecting inner-LAN anomalies using hierarchical forecasting Sevvandi Kandanaarachchi M. Abolghasemi H. Ochiai Asha Rao 48 0 0 27 Apr 2023
Structural hierarchical learning for energy networks J. Leprince Waqas Khan H. Madsen J. Møller W. Zeiler 43 0 0 08 Feb 2023
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads J. Leprince H. Madsen J. Møller W. Zeiler 56 6 0 30 Jan 2023
Model selection in reconciling hierarchical time series M. Abolghasemi Rob J. Hyndman Evangelos Spiliotis Christoph Bergmeir 59 22 0 21 Oct 2020
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc Sajjad Taghiyeh D. Lengacher Amir Hossein Sadeghi Amirreza Sahebifakhrabad R. Handfield AI4TS 61 17 0 16 Jun 2020
A machine learning approach for forecasting hierarchical time series P. Mancuso V. Piccialli A. M. Sudoso BDL AI4TS 85 64 0 31 May 2020