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 …

Liberalisation, climate policy and promotion of renewable energy are challenges to players
of the electricity sector in many countries. Policy makers have to con-sider issues like market …

This paper sheds light on a promising and very active research area for electricity market
modeling, that is, agent-based computational economics. The intriguing perspective of such …

Due to the characteristics of electricity, power markets rank among the most complex
markets operated at present. The requirements of an environmentally sustainable …

The paper presents the Genoa Artificial Power Exchange, an agent-based framework for
modeling and simulating power exchanges implemented in MATLAB. GAPEX allows …

In this paper, an innovative model of agent based simulation, based on Ant Colony
Optimization (ACO) algorithm is proposed in order to compare three available strategies of …

This paper explores the economic implications of different contract durations in markets for
on-line (primary and secondary) reserve capacity in Germany with the crucial feature of …

In electrical power engineering, reinforcement learning algorithms can be used to model the
strategies of electricity market participants. However, traditional value function based …

Electricity generation from renewables in Germany has now reached an energy
economically relevant magnitude. The further increase of electricity from renewable energy …

This paper applies two experimental economics methods (ie, agent-based modeling and
laboratory experiment) to a market test suite that is based on a fictional European wholesale …