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Felix Müsgens

Researcher at Brandenburg University of Technology

Publications -  57
Citations -  725

Felix Müsgens is an academic researcher from Brandenburg University of Technology. The author has contributed to research in topics: Renewable energy & Electricity. The author has an hindex of 12, co-authored 46 publications receiving 563 citations. Previous affiliations of Felix Müsgens include University of Cologne & Nürtingen-Geislingen University of Applied Science.

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Quantifying market power in the german wholesale electricity market using a dynamic multi-regional dispatch model*

TL;DR: In this article, the degree of market power in the German wholesale electricity market is quantified by using a dispatch model that simulates competitive marginal costs and uses the simulated prices as a benchmark for observed electricity prices.
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Economics and design of balancing power markets in Germany

TL;DR: In this article, the economic fundamentals that govern market design and behavior in German balancing power markets are analyzed and the role of the scoring and the settlement rule as key elements of the market design.
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Offshore wind competitiveness in mature markets without subsidy

TL;DR: In this paper, the authors harmonize the auction results from five countries based on their design features, showing that offshore wind power generation can be considered commercially competitive in mature markets and that the price paid for power from offshore wind farms across northern Europe fell by 11.9% per year between 2015 and 2019.
Posted ContentDOI

Modelling Dynamic Constraints in Electricity Markets and the Costs of Uncertain Wind Output

TL;DR: In this article, a model that represents inter-temporal constraints in the optimal production decisions for electricity generation is proposed to analyze the resulting costs and their impact on prices during the day.

Market Power in the German Wholesale Electricity Market

TL;DR: In this paper, the degree of market power in the German wholesale electricity market was quantified and a fundamental model was used to derive competitive marginal cost estimators which are compared with observed electricity prices.