Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading-Reference-Cited by-同舟云学术

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Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading

Published:2024-09 Issue: Volume:234 Page:110541
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Maciejowska Katarzyna^ORCID,Serafin Tomasz^ORCID,Uniejewski Bartosz^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. Weather sensitive short term load forecasting using dynamic mode decomposition with control;Mansouri;Electr. Power Syst. Res.,2023

2. The impact of wind power generation on the electricity price in Germany;Ketterer;Energy Econ.,2014

3. Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach;Maciejowska;Energy Econ.,2020

4. Do jumps and cojumps matter for electricity price forecasting? Evidence from the German-Austrian day-ahead market;Ciarreta;Electr. Power Syst. Res.,2022

5. Distributional neural networks for electricity price forecasting;Marcjasz;Energy Econ.,2023

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