ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.02043
  4. Cited By
Hierarchical forecast reconciliation with machine learning

Hierarchical forecast reconciliation with machine learning

3 June 2020
Evangelos Spiliotis
M. Abolghasemi
Rob J. Hyndman
F. Petropoulos
Vassilios Assimakopoulos
ArXiv (abs)PDFHTML

Papers citing "Hierarchical forecast reconciliation with machine learning"

9 / 9 papers shown
Title
Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine
  Learning
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
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
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
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
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
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
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
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
A machine learning approach for forecasting hierarchical time series
P. Mancuso
V. Piccialli
A. M. Sudoso
BDLAI4TS
85
64
0
31 May 2020
1