Description Usage Format Details Source References See Also Examples
A dataset of univariate time series providing 31 points beyond the end of
the time series in EUNITE.Loads
containing half-an-hour
electrical loads measured in January 1999.
1 |
A data frame with 31 observations on the following 48 variables.
a numeric vector containing further
observations of X00.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X01.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X01.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X02.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X02.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X03.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X03.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X04.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X04.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X05.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X05.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X06.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X06.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X07.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X07.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X08.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X08.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X09.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X09.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X10.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X10.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X11.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X11.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X12.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X12.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X13.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X13.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X14.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X14.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X15.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X15.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X16.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X16.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X17.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X17.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X18.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X18.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X19.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X19.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X20.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X20.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X21.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X21.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X22.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X22.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X23.00
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X23.30
in EUNITE.Loads
relative to
January 1999.
a numeric vector containing further
observations of X24.00
in EUNITE.Loads
relative to
January 1999.
Contains the 31 values corresponding to the daily maximum electrical loads
of January 1999 which were to be predicted of EUNITE.Loads
as
demanded by the EUNITE Competition.
EUNITE 1999, Electricity Load Forecast using Intelligent Adaptive Technology: The EUNITE Network Competition. URL: http://www.eunite.org/knowledge/Competitions/1st_competition/1st_competition.htm.
B.-J. Chen, M.-W. Chang, and C.-J. Lin, 2004, Load forecasting using support vector Machines: a study on EUNITE competition 2001, IEEE Transactions on Power Systems, v. 19, n. 4 (Nov.), p. 1821-1830.
EUNITE.Loads
, EUNITE.Reg
,
EUNITE.Temp
1 2 3 | data(EUNITE.Loads.cont)
str(EUNITE.Loads.cont)
plot(ts(EUNITE.Loads.cont["X24.00"]))
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