Machine learning from schools about energy efficiency

In the United States, consumers invest billions of dollars annually in energy efficiency, often on the assumption that these investments will pay for themselves via future energy cost reductions. We study energy efficiency upgrades in K-12 schools in California. We develop and implement a novel mach...

Full description

Bibliographic Details
Main Authors: Knittel, Christopher, Burlig, Fiona, Rapson, David, Reguant, Mar, Wolfram, Catherine
Format: Working Paper
Language:en_US
Published: MIT Energy Initiative 2021
Subjects:
Online Access:https://hdl.handle.net/1721.1/130619