Optimizing Energy Systems
Dan discusses the transformative role of machine learning in optimizing utility-scale solar trackers. He highlights the complexities involved in adjusting each tracker’s angle to maximize energy output while minimizing shading and construction costs. The integration of serialized tracker information allows for precise adaptations to varying conditions, ultimately delivering the lowest cost of energy for owners.In this clip
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