A large-scale study on predicting and contextualizing building energy usage

In this paper we present a data-driven approach to modeling end user energy consumption in residential and commercial buildings. Our model is based upon a data set of monthly electricity and gas bills, collected by a utility over the course of several years, for approximately 6,500 buildings in Camb...

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Bibliographic Details
Main Authors: Kolter, Jeremy Z. (Contributor), Ferreira, Joseph, Jr (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Urban Studies and Planning (Contributor)
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence, 2013-02-21T21:11:20Z.
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