Today we’re joined by Laurence Watson, Co-Founder and CTO of Plentiful Energy and a former data scientist at Carbon Tracker.
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Late last year, Carbon Tracker, who uses machine learning to do in-depth analysis on the impact of various high-cost, carbon-intensive energy sources, released their report “Nowhere to hide: Using satellite imagery to estimate the utilisation of fossil fuel power plants”. In our conversation, Laurence details the report, which uses computer vision to process satellite images of coal plants, including how they labeled the images, and various challenges with the scope and scale of this project, including dealing with varied time zones and imbalanced training classes.
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Mentioned in the Interview
- Carbon Tracker
- Nowhere to hide: Using satellite imagery to estimate the utilisation of fossil fuel power plants
- Coal Swarm Dataset
- Inception v3
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0