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AI-Driven Energy Optimization Proposal by bb6881528 is a document available to read on EtoBox.

The document presents a hackathon submission for an AI-driven energy efficiency optimization system called AI-E2Opt, aimed at reducing energy consumption in smart infrastructures. It outlines the problem of high energy wastage and carbon footprint due to lack of real-time monitoring and adaptive control, proposing a solution that integrates machine learning and IoT for dynamic energy management. Key features include real-time adaptive control, predictive demand forecasting, and anomaly detection, with expec

Author
bb6881528
Language
EN