AI-Powered Network Energy Optimization Dashboard

The AI-powered Smart Energy Management System addresses high energy costs and unreliable electricity in rural telecom networks. Using datasets like VIIRS Nighttime Lights, OpenCellID, Sentinel-2, and Africa Bandwidth Maps, the system optimizes energy consumption across network nodes. It employs machine learning to analyze real-time energy usage and predict consumption patterns, enabling dynamic power-saving modes for off-peak hours. Additionally, renewable energy integration is facilitated by identifying optimal locations for solar-powered Base Transceiver Stations (BTS) using Sentinel-2 imagery. The system features a real-time AI-powered dashboard, offering network operators insights into energy consumption, grid stability, and alternative energy sources. OpenStreetMap and Global Electricity Grid data help in planning infrastructure placement. This solution not only reduces operational costs but also contributes to sustainability goals by enabling efficient power utilization. Its scalability extends to multiple rural telecom sites, making it a vital innovation in network design and strategic planning.