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...
Main Authors: | , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
Association for the Advancement of Artificial Intelligence,
2013-02-21T21:11:20Z.
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Subjects: | |
Online Access: | Get fulltext |