Research and Applications of Data Mining Techniques for Improving Building Operational Performance-Reference-Cited by-同舟云学术

Research and Applications of Data Mining Techniques for Improving Building Operational Performance

Published:2018-04-16 Issue:2 Volume:5 Page:181-188
ISSN:2196-3010
Container-title:Current Sustainable/Renewable Energy Reports
language:en
Short-container-title:Curr Sustainable Renewable Energy Rep

Author:

Fan Cheng,Xiao Fu,Yan Chengchu

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/article/10.1007/s40518-018-0112-x/fulltext.html

Reference61 articles.

1. Ramesh T, Prakash R, Shukla KK. Life cycle energy analysis of buildings: an overview. Energy Build. 2010;42:1592–600.

2. Waide P, Ure J, Karagianni N, Smith G, Bordass B. The scope for energy and CO2 savings in the EU through the use of building automation technology. Final Report for the European Copper Institute, August 2013.

3. Gantz J, Reinsel D. The digital universe in 2020: big data, bigger digital shadows, and biggest growth in the far east. International Data Corporation, IDC iView: IDC Analyze the Future, 2012.

4. Han JW, Kamber M. Data mining: concepts and techniques. The Morgan Kaufmann Series in Data Management Systems; 2011.

5. Mikut R, Reischl M. Data mining tools. Data Min Knowl Discov. 2011;5:431–43.

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