Silva, FranciscoTeixeira, BrígidaPinto, TiagoPraça, IsabelMarreiros, GoretiVale, Zita2021-03-102021-03-102017978-3-319-61117-4http://hdl.handle.net/10400.22/17399The use of Decision Support Systems (DSS) in the eld of Electricity Markets (EM) is essential to provide strategic support to its players. EM are constantly changing, dynamic environments, with many entities which give them a particularly complex nature. There are several simulators for this purpose, including Bilateral Contracting. However, a gap is noticeable in the pre-negotiation phase of energy transactions, particularly in gathering information on opposing negotiators. This paper presents an overview of existing tools for decision support to the Bilateral Contracting in EM, and proposes a new tool that addresses the identied gap, using concepts related to automated negotiation, game theory and data mining.engAutomated negotiationBilateral contractsData miningDecision support systemsElectricity marketsGame theoryconference object10.1007/978-3-319-61118-1_20