Liang Zhao and Jili Zhang and Chongquan Zhong
The Application of Data Mining Technology in Building Energy Consumption Data Analysis
81 - 85
2016
10
1
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10003363
https://publications.waset.org/vol/109
World Academy of Science, Engineering and Technology
Energy consumption data, in particular those involving
public buildings, are impacted by many factors the building structure,
climateenvironmental parameters, construction, system operating
condition, and user behavior patterns. Traditional methods for data
analysis are insufficient. This paper delves into the data mining
technology to determine its application in the analysis of building
energy consumption data including energy consumption prediction,
fault diagnosis, and optimal operation. Recent literature are reviewed
and summarized, the problems faced by data mining technology in the
area of energy consumption data analysis are enumerated, and research
points for future studies are given.
Open Science Index 109, 2016