Tech4You Project aimed at adapting to climate change and improving the quality of life, promotes resilient and eco-sustainable buildings to reduce climate risks and increase energy efficiency. In this context, autonomous DC microgrids are essential for efficiently managing renewable resources, contributing to environmental sustainability, reducing carbon emissions and improving the energy resilience of buildings and communities. Thanks to advanced energy management systems, these microgrids optimize the use of resources, limiting the need for batteries and fuels. While AI has improved energy management, the complexity of these tools makes them difficult for non-experts to use and update. Considering the variability of renewable resources, the use of fuzzy logic-based control devices offers a flexible solution to handle complex and uncertain problems. The study compares three energy management systems: one with Takagi-Sugeno type-1 fuzzy logic, one that manages uncertainties in the membership functions and a third with intuitionistic fuzzy logic, which is the most adaptable and performing.