Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions

Author:

Ben Taieb Souhaib1,Koo Bonsoo2

Affiliation:

1. University of Mons & Monash University, Mons, Belgium

2. Monash University, Melbourne, Australia

Funder

Australian Research Council

Publisher

ACM

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hierarchical forecasting at scale;International Journal of Forecasting;2024-10

2. Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. NeuralReconciler for Hierarchical Time Series Forecasting;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

4. Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation;Transportation Research Part C: Emerging Technologies;2024-02

5. Optimal reconciliation of hierarchical wind energy forecasts utilizing temporal correlation;Energy Conversion and Management;2024-02

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