It is an open data set from 507 non-residential buildings that includes hourly whole building electrical meter data for one year. Each of the buildings has meta data such as or area, weather, and primary use type. This data set can be used to benchmark various statistical learning algorithms and other data science techniques. It can also be used simply as a teaching or learning tool to practice dealing with measured performance data from large numbers of non-residential buildings. The charts below illustrate the breakdown of the buildings according to location, building industry, sub-industry, and primary use type. Clayton Miller, Forrest Meggers, The Building Data Genome Project: An open, public data set from non-residential building electrical meters, Energy Procedia, Volume 122, September 2017, Pages 439-444, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2017.07.400.