| EUNITE.Loads.cont | R Documentation |
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.
EUNITE.Loads.cont
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
data(EUNITE.Loads.cont)
str(EUNITE.Loads.cont)
plot(ts(EUNITE.Loads.cont["X24.00"]))
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