Climate data, grid-ready, open NOAA/NASA/USDA inputs for electric utility predictive maintenance.
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Updated
Jun 9, 2026 - Python
Climate data, grid-ready, open NOAA/NASA/USDA inputs for electric utility predictive maintenance.
AI-powered wildfire risk scoring and asset failure prediction for Southern California utility infrastructure. Random Forest model with interactive risk map, asset deep dive, and budget optimization engine.
Professional energy data science portfolio — wildfire risk modeling, grid investment optimization, load forecasting, and energy economics research tools built for utility infrastructure analytics.
AI photogrammetry for utility poles: non-contact width/diameter estimation from video and tilt angle measurement from field images. YOLO-World + EfficientSAM + Hough transform pipeline.
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