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ME 4530 Alternative Energy Systems For Data Mining Utility Bills

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ME 4530 Alternative Energy Systems For Data Mining Utility Bills

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ME 4530 Alternative Energy Systems For Data Mining Utility Bills

0 Download2 Pages / 321 Words

Course Code: ME 4530
University: University Of Michigan

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: United States

Question:
1. Looking over the usage history, are there any months where you would NOT consider the data? Indicate which and also why. 
Answer:
For a given month’s data to be omitted from table it has to contain data that can be regarded to as an outliner. An outliner is any data value that fails outside the inner fence (a range of values between Q3+(1.5*IQR) and  Q-(1.5*IQR))Based on calculation to determine outliners in the electricity and gas usage (excel document) here are the months in specific years that can be omitted from the data table.

For Electricity we can omit

Year

Month

2011

July

2011

August

2006

July

2005

August

 

For Gas we can omit

Year

Month

2007

February

2007

March

Considering the structure of the house and average utility of gas and electricity; we can make estimations of energy loss per square meter (15%-25%). Therefore, we can develop the following table.

Energy

Loss

Electric

14,862.4    KWh

Gas

2,183.1      CCF

600 BTU/hr per person
Number of occupant constantly available at the enclosure
88%*6=5.28
Occupants=5.28
Occupant BTU=5.28*600
Hence
Occupants BTU=3168BTU/hr
The Average monthly temperature in Rochester city in New York, United States as obtained from National Oceanic and Atmospheric Admission (NOAA) 

Month

Average(°C)

January

-4

February

-3.5

March

1.5

April

7.5

May

14

June

19

July

22

August

21

September

17

October

11

November

5

December

-1

The computation will yield the following table

 

 

 

 

For Electricity

 

 

 

 

2011

2010

2009

2008

2007

  2006

  2005

2004

January

21416.4

13737.6

21740.4

20023.2

16961.4

21060.0

19909.8

10254.6

February

19851.2

16568.0

18012.0

20292.0

20976.0

16492.0

20717.6

17008.8

March

12129.6

10830.0

12911.8

12370.3

16160.8

12610.9

12502.6

9831.2

April

6560.0

6748.6

6141.8

7593.2

6904.4

8413.2

7412.8

6551.8

May

 

3364.2

4187.4

3389.4

3393.6

3229.8

3074.4

3024.0

June

 

1251.6

880.8

1165.2

1093.2

1216.8

805.2

1047.6

July

 

67.5

41.5

18.2

46.6

59.8

56.8

32.4

August

 

1232.0

460.8

743.5

355.2

345.6

1392.0

431.5

September

3548.9

3987.5

2600.1

1533.7

2230.3

4537.9

3655.0

October

 

5431.5

5871.0

4792.9

7834.9

5871.0

8638.3

6832.3

November

9551.8

10345.1

8410.8

8008.7

10888.4

8171.7

9377.9

December

16509.9

16742.4

17788.8

14911.2

15928.5

15739.6

16480.8

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

For Gas

 

 

 

 

 

2011

2010

2009

2008

2007

  2006

  2005

 

January

6010.2

4260.6

6285.6

5572.8

2219.4

5427.0

6366.6

 

February

6034.4

5000.8

5897.6

3587.2

5578.4

3952.0

5320.0

 

March

3176.8

3309.2

3405.4

3971.0

3983.0

3585.9

4067.3

 

April

1746.6

1115.2

1763.0

2181.2

975.8

1648.2

1558.0

 

May

579.6

327.6

298.2

403.2

537.6

319.2

407.4

 

June

 

76.8

88.8

94.8

40.8

81.6

48.0

 

July

 

1.5

0.9

0.7

0.8

1.0

0.7

 

August

 

19.7

20.3

14.4

14.9

13.9

12.8

 

September

60.2

131.9

97.5

14.3

57.3

57.3

 

October

 

274.7

240.3

240.3

178.5

240.3

302.1

 

November

1108.4

1021.5

771.5

358.6

1336.6

858.5

 

December

2863.1

2180.0

3546.1

2586.9

2688.7

3851.3

 

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