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Unlocking Predictive Insights in Energy Consumption
This chapter explores the vital role of data pre-processing in identifying anomalies and understanding consumer behavior for predictive insights in energy consumption. It discusses the evolution of predictive models influenced by demographic factors and market dynamics, showcasing AI's ability to refine these models. Additionally, the chapter highlights the importance of explainability in AI applications, ensuring equitable participation and effective resource allocation in energy programs.