A machine learning approach for forecasting hierarchical time series

A machine learning approach for forecasting hierarchical time series

31 May 2020

Papers citing "A machine learning approach for forecasting hierarchical time series"

10 / 10 papers shown

Title
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 46 28 0 24 Sep 2024
Multivariate Online Linear Regression for Hierarchical Forecasting Massil Hihat Guillaume Garrigos Adeline Fermanian Simon Bussy 18 0 0 22 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models Yong Liu Haoran Zhang Chenyu Li Xiangdong Huang Jianmin Wang Mingsheng Long AIFin AI4TS AI4CE 42 50 0 04 Feb 2024
Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise Dario Piermarini A. M. Sudoso V. Piccialli 6 2 0 11 Feb 2023
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads J. Leprince H. Madsen J. Møller W. Zeiler 30 6 0 30 Jan 2023
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting Arindam Jati Vijayabharathi Ekambaram Shaonli Pal Brian Quanz Wesley M. Gifford Pavithra Harsha Stuart Siegel Sumanta Mukherjee Chandra Narayanaswami AI4TS 24 5 0 28 Nov 2022
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming V. Piccialli A. M. Sudoso 18 3 0 19 Sep 2022
A Trainable Reconciliation Method for Hierarchical Time-Series D. Burba Trista Pei-chun Chen BDL AI4TS 13 8 0 05 Jan 2021
Model selection in reconciling hierarchical time series M. Abolghasemi Rob J. Hyndman Evangelos Spiliotis Christoph Bergmeir 34 20 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 28 15 0 16 Jun 2020