2 citations · 3 across the 2 of their papers we have counts for
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Variance Stabilizing Transformations for Electricity Price Forecasting in Periods of Increased Volatility
Bartosz Uniejewski
Accurate day-ahead electricity price forecasts are critical for power system operation and market participation, yet growing renewable penetration and recent crises have caused unp…
Probabilistic Forecasts of Load, Solar and Wind for Electricity Price Forecasting
Bartosz Uniejewski, Florian Ziel
Electricity price forecasting is a critical tool for the efficient operation of power systems and for supporting informed decision-making by market participants. This paper explore…
Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading
Katarzyna Maciejowska, Tomasz Serafin, Bartosz Uniejewski
This paper presents a novel hybrid approach for constricting probabilistic forecasts that combines both the Quantile Regression Averaging (QRA) method and the factor-based averagin…
Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices
Bartosz Uniejewski
Accurate short-term price forecasting is essential for daily operations in electricity markets. This article introduces a new method, called Smoothing Quantile Regression (SQR) Ave…