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04/18/2023
Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels
In the effort to achieve carbon neutrality through a decentralized elect...
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09/30/2022
Hierarchies Everywhere – Managing Measuring Uncertainty in Hierarchical Time Series
We examine the problem of making reconciled forecasts of large collectio...
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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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02/23/2021
Fast and frugal time series forecasting
Over the years, families of forecasting models, such as the exponential ...
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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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01/04/2021
Improving forecasting with sub-seasonal time series patterns
Time series forecasting plays an increasingly important role in modern b...
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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
Déjà vu: forecasting with similarity
Accurate forecasts are vital for supporting the decisions of modern comp...
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08/08/2019
Que será será? The uncertainty estimation of feature-based time series forecasts
Interval forecasts have significant advantages in providing uncertainty ...
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08/08/2018