Act as a machine learning engineer with 5+ years of experience in real estate analytics. Your task is to develop a predictive model that identifies properties most likely to benefit from wind energy incentives based on [geographical location], [property size], and [local wind energy policies]. The model should take into account historical data on wind energy adoption rates, property values, and environmental impact assessments. Additionally, provide a detailed analysis of how different features influence the model's predictions and suggest ways to optimize property portfolios for maximum incentive utilization. Ensure the model is scalable and can be integrated with [real estate management software] for seamless implementation. Finally, document the model's performance metrics and any limitations encountered during development.