Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10003363,
  title    = {The Application of Data Mining Technology in Building Energy Consumption Data Analysis},
  author    = {Liang Zhao and  Jili Zhang and  Chongquan Zhong},
  country   = {China},
  institution={Dalian University of Technology},
  abstract  = {Energy consumption data, in particular those involving
public buildings, are impacted by many factors: the building structure,
climate/environmental 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.
},
  {International Journal of Computer and Information Engineering },  volume    = {10},
  number    = {1},
  year      = {2016},
  pages     = {81 - 85},
  ee        = {http://waset.org/publications/10003363},
  url       = {http://waset.org/Publications?p=109},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 109, 2016},
}