AI in Renewables
Danielle highlights the unique challenges of applying AI in renewable energy, particularly with limited data sets. While traditional AI thrives on abundant data, the focus here is on detecting defects in wind turbine components, where the rarity of defects complicates training. Arvind emphasizes the importance of ensuring product stability and quality, noting that the goal is to minimize defects while maintaining efficiency throughout the long lifespan of wind turbines.In this clip
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The AI Podcast
GE's Danielle Merfeld and Arvind Rangarajan on AI and Renewable Energy - Ep. 150
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