1 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort?
Iegor Riepin, Thomas Möbius, Felix Müsgens
The interdependence of electricity and natural gas markets is becoming a major topic in energy research. Integrated energy models are used to assist decision-making for businesses…
Modelling the data and not the images in FMRI
Thomas Wilhelm Dieter Möbius
The standard approach to the analysis of functional magnetic resonance imaging (FMRI) data applies various preprocessing steps to the original FMRI. These preprocessings lead to a…