Data Science
We’re collecting and analyzing information about various aspects of the environment, from humidity levels to cloud cover, to identify the best location in the world to install solar cells. By presenting this data through visual models, we strive to help global communities learn more about renewable energy and become more aware of their surroundings.
Contribute Your Data!
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to our goal of data collected
Our Machine Learning Project
We’re collecting data from publicly available databases to determine what environmental factors best predict solar energy production in areas across the country. From boosted trees to neural networks, we’re testing out different machine learning methods to see what performs the best!
We Want Your Contribution!
Know of a new solar database? Want us to examine solar energy production in your area? Reach out to us! We’re always looking for ways we can expand the scope of our machine learning and data science projects and would love to hear from you.
Want to learn more about our data analysis project?
Get in touch with us!