The EcoImpact framework combines data-driven model predictive control with interpretable machine learning to cut building energy waste. Researchers focused on transparency to ensure operators understand why the system adjusts heating and cooling. This approach reduces operational costs without sacrificing comfort. It provides a practical template for scaling energy conservation in commercial real estate.