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electrical-grid-stability

electrical-grid-stability

active ARFF Publicly available Visibility: public Uploaded 28-05-2021 by Meilina Reksoprodjo
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The analysis is performed for different sets of input values using the methodology similar to that described in [Schafer, Benjamin, et al. 'Taming instabilities in power grid networks by decentralized control.' The European Physical Journal Special Topics 225.3 (2016): 569-582.]. Several input values are kept the same: averaging time: 2 s; coupling strength: 8 s^-2; damping: 0.1 s^-1.

14 features

tau1numeric10000 unique values
0 missing
tau2numeric10000 unique values
0 missing
tau3numeric10000 unique values
0 missing
tau4numeric10000 unique values
0 missing
p1numeric10000 unique values
0 missing
p2numeric10000 unique values
0 missing
p3numeric10000 unique values
0 missing
p4numeric10000 unique values
0 missing
g1numeric10000 unique values
0 missing
g2numeric10000 unique values
0 missing
g3numeric10000 unique values
0 missing
g4numeric10000 unique values
0 missing
stabnumeric10000 unique values
0 missing
stabfstring2 unique values
0 missing
Show all 14 features

19 properties

NumberOfInstances
10000
Number of instances (rows) of the dataset.
NumberOfFeatures
14
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
13
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
92.86
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

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