Space cooling energy usage prediction based on utility data for residential buildings using machine learning methods

Author:

Feng Yanxiao,Duan Qiuhua,Chen Xi,Yakkali Sai Santosh,Wang Julian

Funder

National Science Foundation

U.S. Environmental Protection Agency

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference58 articles.

1. U.S. energy information administration, residential energy consumption survey; 2015. Available: https://www.eia.gov/consumption/residential/index.php.

2. U.S. Energy Information Administration, Annual Energy Outlook 2019; January 2019.

3. Behavior and Energy policy;Allcott;Science,2010

4. A review of intervention studies aimed at household energy conservation;Abrahamse;J Environ Psychol,2005

5. Darby S. The effectiveness of feedback on energy consumption. Environmental Change Institute, University of Oxford; April 2006. Available: http://copperalliance.org.uk/uploads/2018/02/smart-metering-report.pdf.

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