KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

Daily electricity energy data set

Description
Files and additional references

Description

This section describes main characteristics of the dee data set and its attributes:

General information

Daily electricity energy data set
Type	Regression	Origin	Real world
Features	6	(Real / Integer / Nominal)	(6 / 0 / 0)
Instances	365	Missing values?	No

Attribute description

Attribute	Domain
Hydroelectric	[27881.8,206035.0]
Nuclear	[114760.0,187105.0]
Coal	[33537.0,234833.0]
Fuel	[0.0,67986.5]
Gas	[0.0,84452.2]
Special	[5307.0,16357.0]
Consume	[0.765853,5.11875]

Additional information

The dee problem involves predicting the daily average price of TkWhe electricity energy in Spain. The data set contains real values from 2003 about the daily consumption in Spain of energy from hydroelectric, nuclear electric, carbon, fuel, natural gas and other special sources of energy.

Files and additional references

In this section you can download some files related to the dee data set:

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .