Morais, H.Cardoso, MarilioKhodr, H. M.Praça, IsabelVale, Zita2013-05-032013-05-032008978-1-4244-1743-8http://hdl.handle.net/10400.22/1513This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimisation techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper detail some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study.engDistributed generationElectricity marketsIntelligent agents coalitionsVirtual power producersconference object2013-04-12