Act as a machine learning engineer with 5+ years of experience in real estate and renewable energy. Develop a predictive model to analyze and optimize solar incentive programs for residential properties. Use [DATA SOURCES] such as historical energy usage, property features, and local incentive programs to train the model. Ensure the model accounts for [KEY FACTORS] like geographic location, roof orientation, and local electricity rates. Additionally, integrate [OUTPUT METRICS] such as projected savings, payback period, and carbon emission reductions to provide actionable insights for homeowners and real estate professionals. Your solution should be scalable and adaptable to different regions and incentive structures.