Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters
By Arkadiusz Lipiecki, Bartosz Uniejewski, Rafał Weron
Rating
1531
Battle Count: 18
Relevance
8/10
Highly relevant for energy trading and risk management in electricity markets
Implementation Complexity
6/10
Moderate complexity due to the combination of multiple postprocessing methods
Reproducibility
4/5
Detailed methodology and data sources provided, but no code repository mentioned
About this paper
Methodology: Postprocessing of point predictions. Problem types: Time Series Forecasting, Probabilistic Forecasting.
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