Agent-based computational economics (ACE) is the computational study of economies
modeled as evolving systems of autonomous interacting agents. Thus, ACE is a …

The alignment between electricity market liberalisation and consumer participation is
essential to improve market efficiency, increase system flexibility and support the transition …

Climate change is one of the most daunting challenges human kind has ever faced. In the
paper, we provide a survey of the micro and macro economics of climate change from a …

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 …

This study reports experimental market power and efficiency outcomes for a computational
wholesale electricity market operating in the short run under systematically varied …

This paper investigates the day-ahead forecasting performance of fundamental price models
for electricity spot prices, intended to capture:(i) the impacts of economic, technical, strategic …

This chapter examines the relationship between agent-based modeling and economic
decision-making experiments with human subjects. Both approaches exploit controlled …

This paper presents a large-scale application of multiagent evolutionary modeling to the
proposed new electricity trading arrangements (NETA) in the UK. This is a detailed plant-by …

The new potential of Distributed Energy Resources (DER), residential consumers, buildings,
and prosumers in terms of controllable devices, self-generation, and storage makes them …

Abstract In April 2003 the US Federal Energy Regulatory Commission proposed a
complicated market design—the Wholesale Power Market Platform (WPMP)—for common …