EUNITE.Loads.cont {TSPred} | R Documentation |
Continuation dataset of the electrical loads of the EUNITE Competition
Description
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.
Usage
EUNITE.Loads.cont
Format
A data frame with 31 observations on the following 48 variables.
- X00.30
a numeric vector containing further observations of
X00.30
inEUNITE.Loads
relative to January 1999.- X01.00
a numeric vector containing further observations of
X01.00
inEUNITE.Loads
relative to January 1999.- X01.30
a numeric vector containing further observations of
X01.30
inEUNITE.Loads
relative to January 1999.- X02.00
a numeric vector containing further observations of
X02.00
inEUNITE.Loads
relative to January 1999.- X02.30
a numeric vector containing further observations of
X02.30
inEUNITE.Loads
relative to January 1999.- X03.00
a numeric vector containing further observations of
X03.00
inEUNITE.Loads
relative to January 1999.- X03.30
a numeric vector containing further observations of
X03.30
inEUNITE.Loads
relative to January 1999.- X04.00
a numeric vector containing further observations of
X04.00
inEUNITE.Loads
relative to January 1999.- X04.30
a numeric vector containing further observations of
X04.30
inEUNITE.Loads
relative to January 1999.- X05.00
a numeric vector containing further observations of
X05.00
inEUNITE.Loads
relative to January 1999.- X05.30
a numeric vector containing further observations of
X05.30
inEUNITE.Loads
relative to January 1999.- X06.00
a numeric vector containing further observations of
X06.00
inEUNITE.Loads
relative to January 1999.- X06.30
a numeric vector containing further observations of
X06.30
inEUNITE.Loads
relative to January 1999.- X07.00
a numeric vector containing further observations of
X07.00
inEUNITE.Loads
relative to January 1999.- X07.30
a numeric vector containing further observations of
X07.30
inEUNITE.Loads
relative to January 1999.- X08.00
a numeric vector containing further observations of
X08.00
inEUNITE.Loads
relative to January 1999.- X08.30
a numeric vector containing further observations of
X08.30
inEUNITE.Loads
relative to January 1999.- X09.00
a numeric vector containing further observations of
X09.00
inEUNITE.Loads
relative to January 1999.- X09.30
a numeric vector containing further observations of
X09.30
inEUNITE.Loads
relative to January 1999.- X10.00
a numeric vector containing further observations of
X10.00
inEUNITE.Loads
relative to January 1999.- X10.30
a numeric vector containing further observations of
X10.30
inEUNITE.Loads
relative to January 1999.- X11.00
a numeric vector containing further observations of
X11.00
inEUNITE.Loads
relative to January 1999.- X11.30
a numeric vector containing further observations of
X11.30
inEUNITE.Loads
relative to January 1999.- X12.00
a numeric vector containing further observations of
X12.00
inEUNITE.Loads
relative to January 1999.- X12.30
a numeric vector containing further observations of
X12.30
inEUNITE.Loads
relative to January 1999.- X13.00
a numeric vector containing further observations of
X13.00
inEUNITE.Loads
relative to January 1999.- X13.30
a numeric vector containing further observations of
X13.30
inEUNITE.Loads
relative to January 1999.- X14.00
a numeric vector containing further observations of
X14.00
inEUNITE.Loads
relative to January 1999.- X14.30
a numeric vector containing further observations of
X14.30
inEUNITE.Loads
relative to January 1999.- X15.00
a numeric vector containing further observations of
X15.00
inEUNITE.Loads
relative to January 1999.- X15.30
a numeric vector containing further observations of
X15.30
inEUNITE.Loads
relative to January 1999.- X16.00
a numeric vector containing further observations of
X16.00
inEUNITE.Loads
relative to January 1999.- X16.30
a numeric vector containing further observations of
X16.30
inEUNITE.Loads
relative to January 1999.- X17.00
a numeric vector containing further observations of
X17.00
inEUNITE.Loads
relative to January 1999.- X17.30
a numeric vector containing further observations of
X17.30
inEUNITE.Loads
relative to January 1999.- X18.00
a numeric vector containing further observations of
X18.00
inEUNITE.Loads
relative to January 1999.- X18.30
a numeric vector containing further observations of
X18.30
inEUNITE.Loads
relative to January 1999.- X19.00
a numeric vector containing further observations of
X19.00
inEUNITE.Loads
relative to January 1999.- X19.30
a numeric vector containing further observations of
X19.30
inEUNITE.Loads
relative to January 1999.- X20.00
a numeric vector containing further observations of
X20.00
inEUNITE.Loads
relative to January 1999.- X20.30
a numeric vector containing further observations of
X20.30
inEUNITE.Loads
relative to January 1999.- X21.00
a numeric vector containing further observations of
X21.00
inEUNITE.Loads
relative to January 1999.- X21.30
a numeric vector containing further observations of
X21.30
inEUNITE.Loads
relative to January 1999.- X22.00
a numeric vector containing further observations of
X22.00
inEUNITE.Loads
relative to January 1999.- X22.30
a numeric vector containing further observations of
X22.30
inEUNITE.Loads
relative to January 1999.- X23.00
a numeric vector containing further observations of
X23.00
inEUNITE.Loads
relative to January 1999.- X23.30
a numeric vector containing further observations of
X23.30
inEUNITE.Loads
relative to January 1999.- X24.00
a numeric vector containing further observations of
X24.00
inEUNITE.Loads
relative to January 1999.
Details
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.
Source
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.
References
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.
See Also
EUNITE.Loads
, EUNITE.Reg
,
EUNITE.Temp
Examples
data(EUNITE.Loads.cont)
str(EUNITE.Loads.cont)
plot(ts(EUNITE.Loads.cont["X24.00"]))