forgot password?
register here
Research articles
  search articles
  reviews guidelines
  articles index
My Pages
my alerts
  my messages
  my reviews
  my favorites
Members: 3652
Articles: 2'545'386
Articles rated: 2609

24 June 2024
  » arxiv » 2302.00411

 Article overview

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
Services Forum | Review | PDF | Favorites   
Visitor rating: did you like this article? no 1   2   3   4   5   yes

No review found.
 Did you like this article?

This article or document is ...
of broad interest:
Global appreciation:

  Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
» my Online CV
» Free

home  |  contact  |  terms of use  |  sitemap
Copyright © 2005-2024 - Scimetrica