We presented at the 23rd congress some heuristics for load scheduling in energy communities. That work assumed that a centralized decision-maker assigns optimal decision to the community members. That model is hardly implementable in practice, where individuals may wish to avoid following the decisions decided by that authority. We have, therefore, started to study how to efficiently decentralize this decision process. Instead of dictating schedules, the centralized authority (Community Coordinator, CC) would merely provide prices and information to the community members. We will present our preliminary results along that line.