---
title: Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market
url: https://www.ml-quant.com/papers/doi/10-1016-j-jcomm-2024-100449/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: doi:10.1016/j.jcomm.2024.100449
source_url: http://dx.doi.org/10.1016/j.jcomm.2024.100449
featured: 2025-03-05
citations: 10
topic: Econometrics & Forecasting
---


# Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market

A new method for predicting long-term electricity prices, which combines forecasts and extrapolates price series, has improved accuracy by 3% to 15% in German and Spanish power markets.

- Source: http://dx.doi.org/10.1016/j.jcomm.2024.100449
- Identifier: doi:10.1016/j.jcomm.2024.100449
- Released: 2025-03-04
- First featured: Quant Letter No. 87 (2025-03-05): https://www.ml-quant.com/issues/2025-03-05/
- Citations (Semantic Scholar): 10
- Published in: Journal of Commodity Markets
- Topic: Econometrics & Forecasting

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