In a recent study, E2e researchers Fiona Burlig, Christopher Knittel, David Rapson, Mar Reguant and Catherine Wolfram developed a new machine learning approach to measure the energy savings from efficiency upgrades in schools. Using the machine learning approach, the researchers developed a rich understanding of the drivers of real-world electricity consumption at over 1,000 K-12 schools in California.
In the News
Severin Borenstein in the Energy Institute Blog
Lucas Davis in the New York Times
Sébastien Houde and Erica Myers in Brookings Up Front