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 …

Equilibrium analysis has been widely studied as an effective tool to model gaming
interactions and predict market results. However, as competition modes are fundamentally …

In electricity markets around the world, the substantial increase of intermittent renewable
electricity generation has intensified concerns about generation adequacy, ultimately driving …

In Europe, the ongoing renewable expansion and delays in the planned grid extension have
intensified the discussion about an adequate electricity market design. Against this …

Cost reductions of rooftop photovoltaics and battery storage, increasing retail electricity
prices as well as falling feed-in remuneration provide strong incentives for many German …

Investment decisions in competitive power markets are based upon thorough profitability
assessments. Thereby, investors typically show a high degree of risk aversion, which is the …

The electricity system is undergoing a rapid transformation, with the decisions of investors
significantly shaping not only the future supply mix of the system, but also dictating the pace …

In Germany, the political decision to phase out nuclear and coal-fired power as well as
delays in the planned grid extension are expected to intensify the current issue of high grid …

In REFLEX ten different bottom-up simulation tools, fundamental energy system models, and
approaches for life cycle assessment are coupled to a comprehensive Energy Models …

Growing numbers of plug-in electric vehicles in Europe will have an increasing impact on
the electricity system. Using the agent-based simulation model PowerACE for ten electricity …