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...

In this paper we present results from an agent-based simulation model of two sequentially cleared electricity markets. Agents can bid on both a day-ahead market for physical delivery contracts and a day-ahead balancing power market and learn from their achieved results. Different scenarios of...

In this paper, we present a basic approach for modelling electricity and emissions markets under the paradigm of agent-based computational economics (ACE). Different market players will be modelled as independent entities using autonomous software agents; they operate and communicate...

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...