Anomaly Detection in Energy Usage Patterns
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Nalini Ravishanker | Henry Linder | Ming-Hui Chen | David McIntosh | Stanley Nolan | N. Ravishanker | Ming-Hui Chen | Henry Linder | David McIntosh | Stanley Nolan
[1] Charles E. Heckler,et al. Applied Multivariate Statistical Analysis , 2005, Technometrics.
[2] Liang Zhao. A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System , 2014 .
[3] Yingzhuo Fu,et al. SPC methods for nonstationary correlated count data with application to network surveillance , 2014 .
[4] Wai K. Chong,et al. Analyzing the Impact of Outside Temperature on Energy Consumption and Production Patterns in High-Performance Research Buildings in Arizona , 2017 .
[5] M. Y. Lu,et al. Energy Consumption Status and Characteristics Analysis of University Campus Buildings , 2015 .
[6] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[7] J. H. Ward. Hierarchical Grouping to Optimize an Objective Function , 1963 .
[8] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[9] Robert G. Quayle,et al. Heating Degree Day Data Applied to Residential Heating Energy Consumption , 1980 .
[10] Thomas Bartz-Beielstein,et al. imputeTS: Time Series Missing Value Imputation in R , 2017, R J..
[11] John E. Seem,et al. Using intelligent data analysis to detect abnormal energy consumption in buildings , 2007 .
[12] Jili Zhang,et al. A real-time detection method of abnormal building energy consumption data coupled POD-LSE and FCD , 2017 .
[13] Pushpendra Singh,et al. Monitor: An Abnormality Detection Approach in Buildings Energy Consumption , 2018, 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC).