7. 0.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00
500
1000
1500
2000
2500
3000
3500
4000
4500
8/2/13 9/2/13 10/2/13 11/2/13 12/2/13 1/2/14 2/2/14
Avg.DailyTemperature(F)
Avg.DailyEnergyConsumption(kWh)
Baseline Model Behavior for Building 101
Metered Modeled Temperature

8. 0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
160.00
180.00
8/2/13 9/2/13 10/2/13 11/2/13 12/2/13 1/2/14
Residuals
0.00
5.00
10.00
15.00
20.00
25.00
30.00
1/21/14
1/22/14
1/23/14
1/24/14
1/25/14
1/26/14
1/27/14
1/28/14
1/29/14
1/30/14
1/31/14
2/1/14
2/2/14
2/3/14
2/4/14
Residuals-Validation Period (1/21/14-
2/4/14)
0.00
50.00
100.00
150.00
200.00
0.00 20.00 40.00 60.00 80.00 100.00
Outdoor Temperature (F)
Residuals
0.00
5.00
10.00
15.00
20.00
25.00
30.00
0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00
Outdoor Temperature (F)
Residuals-Validation Period (1/21/14-2/4/14)

9. y = 0.0396x2 - 4.167x + 155.79
y = 0.0059x2 - 1.0271x + 72.419
0
50
100
150
200
0 20 40 60 80 100
Energyconsumption(kWh)
Temperature (°F)
Polynomial regression model
prediction for the daily consumption
Cooling days
Heating days
Poly. (Cooling days)
Poly. (Heating days)
0
10
20
30
40
50
60
70
80
90
0
20
40
60
80
100
120
140
160
180
Temperature(°F)
Energyconsumption(kWh)
Baseline model behavior for AHU
Metered Modeled Outside temp.
Energy consumption is
too low may due to
measurement errors

10. y = 0.0294x2 - 2.406x + 107.05
y = 0.0307x2 - 2.9744x + 132.47
0
20
40
60
80
100
120
140
160
180
0 10 20 30 40 50 60 70 80 90
Energyconsumption(kWh)
Temperature (°F)
Polynomial regression model prediction for the daily
consumption
Cooling days
Heating days
Poly. (Cooling days)
Poly. (Heating days)

11. 0
10
20
30
40
50
60
70
80
90
0
20
40
60
80
100
120
140
160
180
08-02-13 09-02-13 10-02-13 11-02-13 12-02-13 01-02-14 02-02-14
Temperature(°F)
Energyconsumption(kWh)
Baseline model behavior for AHU
Metered Modeled Outside Temp.

12. -80
-60
-40
-20
0
20
40
60
80
100
120
08-02-13 09-02-13 10-02-13 11-02-13 12-02-13 01-02-14 02-02-14
Energyconsumption(kWh)
Residual analysis for AHU model
-100%
-80%
-60%
-40%
-20%
0%
20%
40%
60%
80%
100%
08/02/13 09/02/13 10/02/13 11/02/13 12/02/13 01/02/14 02/02/14
Relative error

13. y = -0.188x2 + 36.24x - 1414.7
0
50
100
150
200
250
300
350
400
450
0 10 20 30 40 50 60 70 80 90
Energyconsumption(kWh)
Temperature (°F)
Polynomial regression model prediction for the daily
consumption
Cooling days
Poly. (Cooling days)

14. 0
10
20
30
40
50
60
70
80
90
0
50
100
150
200
250
300
350
400
450
Temperature(°F)
Energyconsumption(kWh)
Baseline model behavior for compressor
Metered Modeled Outside Temp.

15. -200
-150
-100
-50
0
50
100
150
200
Energyconsumption(kWh)
Residual analysis for compresor model
-200%
-150%
-100%
-50%
0%
50%
100%
150%
200%
Relative error

16. • Compressor most accurately displayed using
regression model
• Temperature is not sole indicator in energy
consumption
• To accurately verify energy consumption
must account for other factors including
building materials, equipment etc.
• Data accuracy was effected by lack of data
and missing information