activity
20202025
most citedUnderstanding electricity prices beyond the merit order principle using explainable AI

5 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2025

Understanding the European energy crisis through structural causal models

Sarah Schreyer, Anton Tausendfreund, Florian Immig +5

Natural gas supplies in Europe were disrupted and energy prices soared in the context of Russia's invasion of Ukraine. Electricity prices in France experienced the largest relative…

cs.LG2022★ 5 cited

Understanding electricity prices beyond the merit order principle using explainable AI

Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo +2

Electricity prices in liberalized markets are determined by the supply and demand for electric power, which are in turn driven by various external influences that vary strongly in…

cs.AI2021

Artificial Intelligence and Design of Experiments for Assessing Security of Electricity Supply: A Review and Strategic Outlook

Jan Priesmann, Justin Münch, Elias Ridha +5

Assessing the effects of the energy transition and liberalization of energy markets on resource adequacy is an increasingly important and demanding task. The rising complexity in e…

math.OC2021

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

Maximilian Hoffmann, Jan Priesmann, Lars Nolting +3

Energy system models are challenged by the need for high temporal and spatial resolutions in or-der to appropriately depict the increasing share of intermittent renewable energy so…

math.OC2020

A modeler's guide to handle complexity in energy systems optimization

Leander Kotzur, Lars Nolting, Maximilian Hoffmann +10

The determination of environmentally- and economically-optimal energy system designs and operations is complex. In particular, the integration of weather-dependent renewable energy…