This project is an AI-powered, multi-modal asset health forecasting and dynamic load-balancing pipeline engineered for the APTRANSCO smart grid. It ingests real-time IoT telemetry, weather station statistics, and drone physical analytics to predict infrastructure degradation, trigger automated field dispatches, and balance network electricity loads
machine-learning random-forest numpy scikit-learn telemetry pandas python3 power-systems dlr iot-analytics smart-grid asset-management load-balancing predictive-maintenance streamlit energy-automation dynamic-link-rating multi-model-ml aptransco
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Updated
Jun 2, 2026 - Python