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Distribution analysis of electricity measurement

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Distribution analysis of electricity measurement

Frequency of data saving: 200 ms

1) Value: avg.U1[V]

Legend of histogram Proportion legend

(2)

Best interval for averaging (based on seconds): 9,29±0,274 s Best interval for averaging (based on file): 1,858±0,055 s

Comparison of proportion results (Value: avg.U1[V])

(3)

Comparison of distributions

A) Normal Distribution (Value: avg.U1[V])

(4)

B) LogNormal Distribution (Value: avg.U1[V])

C) Cauchy Distribution (Value: avg.U1[V])

(5)

2) Value: avg.U2[V]

Best interval for averaging (based on seconds): 8,219±0,42 s Best interval for averaging (based on file): 1,644±0,084 s

Legend of histogram Proportion legend

(6)

Comparison of proportion results (Value: avg.U2[V])

Comparison of distributions

(7)

A) Normal Distribution (Value: avg.U2[V])

B) LogNormal Distribution (Value: avg.U2[V])

(8)

C) Cauchy Distribution (Value: avg.U2[V])

(9)

3) Value: avg.U3[V]

Best interval for averaging (based on seconds): 7,571±0,488 s Best interval for averaging (based on file): 1,514±0,098 s

Legend of histogram Proportion legend

(10)

Comparison of proportion results (Value: avg.U3[V])

Comparison of distributions

(11)

A) Normal Distribution (Value: avg.U3[V])

B) LogNormal Distribution (Value: avg.U3[V])

(12)

C) Cauchy Distribution (Value: avg.U3[V])

(13)

4) Value: avg.U12[V]

Best interval for averaging (based on seconds): 11,527±0,832 s Best interval for averaging (based on file): 2,305±0,166 s

Legend of histogram Proportion legend

(14)

Comparison of proportion results (Value: avg.U12[V])

Comparison of distributions

(15)

A) Normal Distribution (Value: avg.U12[V])

B) LogNormal Distribution (Value: avg.U12[V])

(16)

C) Cauchy Distribution (Value: avg.U12[V])

(17)

5) Value: avg.U23[V]

Best interval for averaging (based on seconds): 9,475±0,605 s Best interval for averaging (based on file): 1,895±0,121 s

Legend of histogram Proportion legend

(18)

Comparison of proportion results (Value: avg.U23[V])

Comparison of distributions

(19)

A) Normal Distribution (Value: avg.U23[V])

B) LogNormal Distribution (Value: avg.U23[V])

(20)

C) Cauchy Distribution (Value: avg.U23[V])

(21)

6) Value: avg.U31[V]

Best interval for averaging (based on seconds): 13,943±1,339 s Best interval for averaging (based on file): 2,789±0,268 s

Legend of histogram Proportion legend

(22)

Comparison of proportion results (Value: avg.U31[V])

Comparison of distributions

(23)

A) Normal Distribution (Value: avg.U31[V])

B) LogNormal Distribution (Value: avg.U31[V])

(24)

C) Cauchy Distribution (Value: avg.U31[V])

(25)

7) Value: avg.f[Hz]

Best interval for averaging (based on seconds): 15,738±0,673 s Best interval for averaging (based on file): 3,148±0,135 s

Legend of histogram Proportion legend

(26)

Comparison of proportion results (Value: avg.f[Hz])

Comparison of distributions

(27)

A) Normal Distribution (Value: avg.f[Hz])

B) LogNormal Distribution (Value: avg.f[Hz])

(28)

C) Cauchy Distribution (Value: avg.f[Hz])

(29)

Comparison of results:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(30)

avg.f[Hz]

(31)

Comparison of graphs between values:

1) Normal Distribution:

A) Proportion_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

(32)

avg.U23[V] avg.U31[V]

avg.f[Hz]

(33)

B) Shapiro-Wilk P value_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(34)

avg.f[Hz]

(35)

C) Shapiro-Wilk Statistic_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(36)

avg.f[Hz]

(37)

D) KS P value_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(38)

avg.f[Hz]

(39)

E) KS Statistic_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(40)

avg.f[Hz]

(41)

F) STD_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(42)

avg.f[Hz]

(43)

G) Entropy_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(44)

avg.f[Hz]

(45)

H) Kurtosis_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(46)

avg.f[Hz]

(47)

I) Mean_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(48)

avg.f[Hz]

(49)

J) Median_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(50)

avg.f[Hz]

(51)

K) Mode_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(52)

avg.f[Hz]

(53)

L) Variance_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(54)

avg.f[Hz]

(55)

M) Quartiles Lenght_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(56)

avg.f[Hz]

(57)

N) Quartiles Max_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(58)

avg.f[Hz]

(59)

O) Quartiles Min_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(60)

avg.f[Hz]

(61)

2) LogNormal Distribution:

A) Proportion_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

(62)

avg.U23[V] avg.U31[V]

avg.f[Hz]

(63)

B) P value_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(64)

avg.f[Hz]

(65)

C) Entropy_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(66)

avg.f[Hz]

(67)

D) Mean_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(68)

avg.f[Hz]

(69)

E) Median_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(70)

avg.f[Hz]

(71)

F) Mode_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(72)

avg.f[Hz]

(73)

G) Variance_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(74)

avg.f[Hz]

(75)

H) Quartiles Lenght_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(76)

avg.f[Hz]

(77)

I) Quartiles Max_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(78)

avg.f[Hz]

(79)

J) Quartiles Min_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(80)

avg.f[Hz]

(81)

K) Shape_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(82)

avg.f[Hz]

(83)

L) Shape2_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(84)

avg.f[Hz]

(85)

M) Location_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(86)

avg.f[Hz]

(87)

3) Cauchy Distribution:

A) Proportion_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

(88)

avg.U23[V] avg.U31[V]

avg.f[Hz]

(89)

B) P value_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(90)

avg.f[Hz]

(91)

C) Entropy_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(92)

avg.f[Hz]

(93)

D) Median_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(94)

avg.f[Hz]

(95)

E) Mode_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(96)

avg.f[Hz]

(97)

F) Quartiles Lenght_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(98)

avg.f[Hz]

(99)

G) Quartiles Max_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(100)

avg.f[Hz]

(101)

H) Quartiles Min_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(102)

avg.f[Hz]

(103)

I) Scale_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(104)

avg.f[Hz]

(105)

J) Location_RANDOM:

avg.U1[V] avg.U2[V]

avg.U3[V] avg.U12[V]

avg.U23[V] avg.U31[V]

(106)

avg.f[Hz]

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