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02/23/2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers
Short-term load forecasting (STLF) is vital for the daily operation of p...
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03/30/2021
Model combinations through revised base-rates
Standard selection criteria for forecasting models focus on information ...
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03/04/2021
Exploring the representativeness of the M5 competition data
The main objective of the M5 competition, which focused on forecasting t...
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02/09/2021
The future of forecasting competitions: Design attributes and principles
Forecasting competitions are the equivalent of laboratory experimentatio...
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10/21/2020
Model selection in reconciling hierarchical time series
Model selection has been proven an effective strategy for improving accu...
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06/03/2020
Hierarchical forecast reconciliation with machine learning
Hierarchical forecasting methods have been widely used to support aligne...
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08/31/2019
