Deep Learning Based Active Power Disaggregation of Appliances for Personalized Energy Feedback System
Author:
Affiliation:
1. Ph.D, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology
2. CEO, iCAPTAIN Co., Ltd
3. Researcher, R&D Team, Buysolar Co., Ltd
Publisher
The Korean Solar Energy Society
Subject
Energy Engineering and Power Technology,Fuel Technology
Link
http://www.ksesjournal.co.kr/articles/pdf/doi/10.7836/kses.2022.42.1.103.pdf
Reference25 articles.
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3. Pérez-Lombard, L., Ortiz, J., and Pout, C., A Review on Buildings Energy Consumption Information, Energy and Buildings, Vol. 40, No. 3, pp. 394-398, 2008, doi: 10.1016/j.enbuild.2007.03.007.
4. Armel, K. C., Gupta, A., Shrimali, G., and Albert, A. Is Disaggregation the Holy Grail of Energy Efficiency?, The Case of Electricity, Energy Policy, Vol. 52, pp. 213-234, 2013.
5. Davis, A. L., Krishnamurti, T., Fischhoff, B., and Bruine de Bruin, W., Setting a Standard for Electricity Pilot Studies, Energy Policy, Vol. 62, pp. 401-409, 2013, doi:
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