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 Hongning Wang

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Average citations per article0.00
Citation Count0
Publication count12
Publication years2015-2017
Available for download11
Average downloads per article3.73
Downloads (cumulative)41
Downloads (12 Months)41
Downloads (6 Weeks)41
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May 2019 WWW '19: The World Wide Web Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 41,   Downloads (12 Months): 41,   Downloads (Overall): 41

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Residential buildings constitute roughly one-fourth of the total energy use across the globe. Numerous studies have shown that providing an energy breakdown increases residents' awareness of energy use and can help save up to 15% energy. A significant amount of prior work has looked into source-separation techniques collectively called non-intrusive ...
Keywords: convolutional neural networks, energy breakdown



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