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24 June 2024
 
  » arxiv » 2302.00411

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Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices
Bartosz Uniejewski ;
Date Wed, 1 Feb 2023 12:52:20 GMT (1896kb)
AbstractThis paper introduces a novel probabilistic forecasting technique called Smoothing Quantile Regression Averaging (SQRA). It combines Quantile Regression Averaging - a well performing load and price forecasting approach - with kernel estimation to improve the reliability of the estimates. Three variants of SQRA are evaluated across datasets from four power markets and compared against well-established benchmarks. Empirical evidence indicates superior predictive performance of the method in terms of the Kupiec test, the pinball score, and the conditional predictive accuracy test. Moreover, considering a day-ahead market trading strategy that utilizes probabilistic price predictions and battery storage, the study shows that profits of up to 9 EUR per 1 MW traded can be achieved when forecasts are generated using SQRA.
Source arXiv, 2302.00411
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