We utilize multiple engineering and statistical tools to analyze consumption and runtime data to identify savings from efficiency programs. Our approaches include machine learning, regression analysis, building simulation and load disaggregation, cost-effectiveness analysis, deemed savings database management, experimental design, and pooled and site-specific billing analysis.