Renewable Energy Communities (RECs) consist in an emerging decentralized market mechanism promoted  by the European Commission which allows local electricity exchanges between end-users, by passing the  traditional wholesale/retail market structure. In that configuration, local consumers and prosumers (i.e.  consumers who also produce electricity) gather in communities and can either cooperate or compete towards  a (possibly common) objective, which can be economical, environmental or social. The optimal allocation of energy in RECs is however a complex task, which involves mixed integer programming, optimization under uncertainty, relaxations techniques and multi-agent optimization. Furthermore, the community members may exhibit differences in terms of their energy preferences. The aim of this thesis is to include members' subjective preferences in the management of REC consumption.