The complexity of electricity markets calls for rich and flexible modeling techniques that help to understand market dynamics and to derive advice for the design of appropriate regulatory frameworks. Agent-Based Computational Economics (ACE) is a fairly young research paradigm that offers...

This paper discusses the use of agent-based simulation models for regulatory advice in electricity market regulation. It briefly introduces the necessary procedures and the state-of-the-art of the methodology, and outlines its possible range of application. In a second part, the paper presents...

Decentralized systems seeking to balance electricity supply and demand regionally are increasingly being discussed. Regional flexibility concepts, however, require spatially and temporally highly resolved knowledge. To provide this, we investigate the 2030 demand, supply, and demand-side...