![Page 1: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/1.jpg)
1
The Building Adapter:Towards Quickly Applying Building Analytics at Scale
Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse
University of Virginia, *IBM Research
![Page 2: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/2.jpg)
2
![Page 3: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/3.jpg)
3
Challenge to Running an Engine
Hot Water Temp RMI328
RMI401 Space Temperature
Zone 2 MAT RMI530
Room 530
Mixed Air
Temperature
Room328
Hot Water
Temperature
......
![Page 4: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/4.jpg)
4
Challenge to Running an Engine
Hot Water Temp RMI328
RMI401 Space Temperature
Zone 2 MAT RMI530
Room 530
Mixed Air
Temperature
Room328
Hot Water
Temperature
......
![Page 5: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/5.jpg)
5
Challenge to Running an Engine
Hot Water Temp RMI328
RMI401 Space Temperature
Zone 2 MAT RMI530
Room 530
Mixed Air
Temperature
Room328
Hot Water
Temperature
......
![Page 6: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/6.jpg)
6
![Page 7: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/7.jpg)
7
Hot Water Temp RMI328
RMI401 Space Temperature
Zone 2 MAT RMI530
Room 530
Mixed Air
Temperature
Room328
Hot Water
Temperature
......
![Page 8: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/8.jpg)
8
![Page 9: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/9.jpg)
9
![Page 10: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/10.jpg)
11
Insight
Labeled Source Unlabeled Target
Zone1 Temp RMI328Zone2 Temp RMI304......
SDH_SF1_R282_RMTSDH_SF2_R517_RMT......
![Page 11: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/11.jpg)
12
Transfer Learning
Labeled Source Unlabeled TargetSDH_SF1_R282_RMT
SDH_SF1_R282_RMT
Probably a mistake!
![Page 12: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/12.jpg)
13
Source Building Target Building
f1
f2
…..
Step I: Encapsulate Knowledge from Source
![Page 13: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/13.jpg)
14
Source Building Target Building
f1
Step II: Clustering on Names in Target Building
f2
![Page 14: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/14.jpg)
15
Step III: Weighted Sum Prediction
Larger weight!
Source Building Target Building
f1
f2
![Page 15: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/15.jpg)
Data Feature
17
Min,Max,…
MIN = [min1, min2, …, minN]
F = [min(MIN), max(MIN),median(MIN), var(MIN)...]
1 2 … N
![Page 16: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/16.jpg)
18
Name Feature
Zone Temp 2 RMI204
{zone, temp, rmi}
{zon, one, tem, emp, rmi}{zon, one, tmp, rmi} (1,1,0,0,1)
keep alphabets
k-mers: ABCDEFG -> ABC, BCD, CDE… (k=3)frequenc
ycount
Zone TMP 1 RMI328
![Page 17: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/17.jpg)
Classifier Weighting
19
Classifier 1 Classifier 2
![Page 18: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/18.jpg)
Classifier Weighting
20
# of Common ExamplesTotal # of Unique Examples
Classifier 1 Classifier 2
w Sim =
5/5 2/5
![Page 19: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/19.jpg)
Thresholding on Weight
21
# of Common ExamplesTotal # of Unique Examples
Classifier 1 Classifier 2
Sim =
Sim> delta
![Page 20: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/20.jpg)
Evaluation Dataset• 3 buildings on 2 campuses• 2700+ points• 22 types• 7 days data
23Building A Building B Building C
![Page 21: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/21.jpg)
24
Mapping Accuracy and Coverage• Train on building A and test on building B• Run on three pairs of buildings• Repeat with different weight thresholds• Classifiers - Random Forest, Logistic Regression
and SVM• Metrics
- Coverage- Accuracy
![Page 22: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/22.jpg)
25
Empirically, a threshold around 0.4 can strike a balance btw Acc and Cov
Per
cent
age
Mapping Accuracy (Acc) and Coverage (Cov)
![Page 23: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/23.jpg)
27
Combining the two Approaches
• Combo: start with fully automated, then switch to active learning
• AL Only: simply run active learning
AL Only
![Page 24: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/24.jpg)
28
Combining Multiple Buildings as Source
More Sources, More Promising!
![Page 25: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/25.jpg)
29
• More buildings as source• Customized data features• Better weighting function• What level of accuracy needed for analytics
Discussion
![Page 26: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/26.jpg)
30
Related Work
Minimizes manual effortwithin a building
• Bharttacharya et. al – BuildSys’15• Gao et. al – BuildSys’15• Schumann et. al – BuildSys’14• Hong et. al – CIKM’15
![Page 27: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/27.jpg)
31
• Leveraged the complementary attributes of sensors
• Developed techniques to automatically map point names
• Experimental results on three buildings show the promise of approach
Conclusion
![Page 28: The Building Adapter: Towards Quickly Applying Building Analytics at Scale Dezhi Hong, Hongning Wang, *Jorge Ortiz, Kamin Whitehouse University of Virginia,](https://reader035.vdocument.in/reader035/viewer/2022062523/5a4d1b137f8b9ab05999072a/html5/thumbnails/28.jpg)
32
Thanks
Questions?