Climate data, grid-ready, open NOAA/NASA/USDA inputs for electric utility predictive maintenance.
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Updated
Jun 22, 2026 - Python
Climate data, grid-ready, open NOAA/NASA/USDA inputs for electric utility predictive maintenance.
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.
Professional energy data science portfolio — wildfire risk modeling, grid investment optimization, load forecasting, and energy economics research tools built for utility infrastructure analytics.
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.
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