activity
20202026
most citedRisk aversion in flexible electricity markets

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

econ.GN2026

Planning resilient hydrogen supply chains under disruption risk

Silvian M. Radke, Philipp C. Verpoort, Falko Ueckerdt +1

Despite growing concerns over energy security, infrastructure planning and modelling for emerging green fuel supply chains often neglect risks from supply disruptions. Using a stoc…

physics.soc-ph2026

The Competitiveness of Renewables: An Analysis of Magnitude, Geography, and Drivers

Pascal Fröhlich, Maximilian Bernecker, Felix Müsgens

While renewable energy sources are the fastest-growing electricity generation technology globally, their competitiveness is still the subject of controversy. This paper presents an…

econ.GN2024

Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting

Souhir Ben Amor, Thomas Möbius, Felix Müsgens

This paper combines a techno-economic energy system model with an econometric model to maximise electricity price forecasting accuracy. The proposed combination model is tested on…

econ.EM2023★ 1 cited

A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling

Mira Watermeyer, Thomas Möbius, Oliver Grothe +1

The accurate prediction of short-term electricity prices is vital for effective trading strategies, power plant scheduling, profit maximisation and efficient system operation. Howe…

stat.AP2021

What drives the accuracy of PV output forecasts?

Thi Ngoc Nguyen, Felix Müsgens

Due to the stochastic nature of photovoltaic (PV) power generation, there is high demand for forecasting PV output to better integrate PV generation into power grids. Systematic kn…

econ.GN2021★ 1 cited

Risk aversion in flexible electricity markets

Thomas Möbius, Iegor Riepin, Felix Müsgens +1

Flexibility options, such as demand response, energy storage and interconnection, have the potential to reduce variation in electricity prices between different future scenarios, t…