Open Access Publication of the Month – Julius Trebbien (IEK-10) et al.
20 June 2023
To encourage us all to broaden our horizons, each month the Central Library selects one open access publication from the JuSER publications portal to be featured in the newsletter of Forschungszentrum Jülich.
In the open access publication of the month, Julius Trebbien (IEK-10), Leonardo Rydin Gorjão (Norwegian University of Life Sciences), Aaron Praktiknjo (RWTH Aachen University), Benjamin Schäfer (Karlsruhe Institute of Technology), and Dirk Witthaut (IEK-10) write about an explainable machine learning model (XAI) that reveals the drivers of electricity prices in the German day-ahead market.
The paper presents an explainable machine learning model that goes beyond the limitations of the simple merit order principle in analysing electricity prices in the German day-ahead market. By adding external features and using SHAP values, the model identifies load, wind and solar generation, fuel prices, and large generation ramps as key factors influencing prices. Additionally, the model reveals a nontrivial relationship between fuel prices and price dynamics and shows that the limited flexibility of nuclear and lignite plants leads to higher prices for large generation ramps. The model provides valuable insights beyond traditional approaches and helps to understand the drivers of electricity prices and their interactions.
The open access publication entitled "Understanding electricity prices beyond the merit order principle using explainable AI" was published in the journal Energy and AI.
JuSER publications portal – Understanding electricity prices beyond the merit order principle using explainable AI
Internet – Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10)