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Journal of Energy
Volume 2014, Article ID 231571, 5 pages
Research Article

A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Received 25 July 2014; Accepted 10 September 2014; Published 16 October 2014

Academic Editor: Mattheos Santamouris

Copyright © 2014 Liang Zhao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.