Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models

被引:418
作者
Candanedo, Luis M. [1 ]
Feldheim, Veronique [1 ]
机构
[1] Univ Mons, B-7000 Mons, Belgium
关键词
SYSTEM;
D O I
10.1016/j.enbuild.2015.11.071
中图分类号
TU [建筑科学];
学科分类号
081407 [建筑环境与能源工程];
摘要
The accuracy of the prediction of occupancy in an office room using,data from light, temperature, humidity and CO2 sensors has been evaluated with different statistical classification models using the open source program R. Three data sets were used in this work, one for training, and two for testing the models considering the office door opened and closed during occupancy. Typically the best accuracies (ranging from 95% to 99%) are obtained from training Linear Discriminant Analysis (LDA), Classification and Regression Trees (CART) and Random Forest (RF) models. The results show that a proper selection of features together with an appropriate classification model can have an important impact on the accuracy prediction. Information from the time stamp has been included in the models, and usually it increases the accuracy of the detection. Interestingly, using only one predictor (temperature) the LDA model was able to estimate the occupancy with accuracies of 85% and 83% in the two testing sets. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:28 / 39
页数:12
相关论文
共 39 条
[1]
Agarwal Yuvraj, 2010, P 2 ACM WORKSH EMB S, P1, DOI DOI 10.1145/1878431.1878433
[2]
[Anonymous], 13 INT C ENH BUILD O
[3]
[Anonymous], 2012, P 2012 S SIMULATION
[4]
ASHRAE SI, 2009, ASHRAE HDB FUND
[5]
Beltran A., 2013, P 5 ACM WORKSH EMB S, P11
[6]
Towards a sensor for detecting human presence and characterizing activity [J].
Benezeth, Y. ;
Laurent, H. ;
Emile, B. ;
Rosenberger, C. .
ENERGY AND BUILDINGS, 2011, 43 (2-3) :305-314
[7]
Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[8]
Energy-efficient control of under-actuated HVAC zones in commercial buildings [J].
Brooks, Jonathan ;
Kumar, Saket ;
Goyal, Siddharth ;
Subramany, Rahul ;
Barooah, Prabir .
ENERGY AND BUILDINGS, 2015, 93 :160-168
[9]
Brooks J, 2014, IEEE DECIS CONTR P, P5680, DOI 10.1109/CDC.2014.7040278
[10]
Castanedo Federico., 2011, Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on, P1