Abstract
This paper presents the Adaptive Decision Support
for Electricity Markets Negotiations (AiD-EM)
system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems.
These sub-systems make use of different artificial
intelligence methodologies, such as machine learning and evolutionary computing, to enable players
adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral
negotiations. AiD-EM demonstration is enabled by
its connection to MASCEM (Multi-Agent Simulator of Competitive Electricity Markets)