Abstract Machine learning and agent-based modeling are two popular tools in energy
research. In this article, we propose an innovative methodology that combines these …

Electricity and, more generally, energy systems are complex, multifaceted systems that may
only be grasped and adequately analysed by combining multiple interdisciplinary skills. This …

The transition to a sustainable energy supply challenges the operation of electric power
systems in various ways. Transmission grid loads increase as wind and solar power is often …

In an era of energy transition, it is crucial to ensure that the design of the short-term electricity
market provides sufficient cash flows to producers so as to allow the investment of the right …

To be able to fulfil the Paris Climate Agreement and keep global warming with reasonable
confidence at a maximum of 1.5° C above pre-industrial levels, Germany must set an end to …

The depletion of fossil fuels and climate change concerns are drivers for the development
and expansion of bioenergy. Promoting biomass is vital to move civilization toward a low …

Seasonal power price (SPP) and differentiated power rationing (DPR) are two solutions for
tackling power shortages as they adjust power allocation, alleviate power supply–demand …

Integrating large amounts of hydrogen production capacities for decarbonizing energy-
intensive industries in Germany can be challenging for transmission system operators. This …

Energy system models are widely used to inform the political decisions required to
successfully mitigate climate change in the energy sector. The energy system optimization …

European electricity markets are zonal markets, a set-up that naturally entails an imperfect
representation of intra-zonal congestion patterns that may limit cross-border trade. The …