The increasing integration of distributed energy resources in residential buildings necessitates advanced energy management systems for optimal operation. This paper compares a fuzzy logic controller against a rule-based controller for managing energy flows within a prosumer building. The fuzzy logic controller’s adaptability to fluctuating conditions offers potential advantages over the rigid structure of rule-based controllers. The comparison focuses on key performance indicators, including operating costs, self-sufficiency, battery cycle life, and grid interaction. Results highlight the trade-offs between economic performance and battery health, providing insights into the strengths and weaknesses of each control strategy for sustainable and cost-effective energy management.