| 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
X00.30inEUNITE.Loadsrelative to January 1999.- X01.00
a numeric vector containing further observations of
X01.00inEUNITE.Loadsrelative to January 1999.- X01.30
a numeric vector containing further observations of
X01.30inEUNITE.Loadsrelative to January 1999.- X02.00
a numeric vector containing further observations of
X02.00inEUNITE.Loadsrelative to January 1999.- X02.30
a numeric vector containing further observations of
X02.30inEUNITE.Loadsrelative to January 1999.- X03.00
a numeric vector containing further observations of
X03.00inEUNITE.Loadsrelative to January 1999.- X03.30
a numeric vector containing further observations of
X03.30inEUNITE.Loadsrelative to January 1999.- X04.00
a numeric vector containing further observations of
X04.00inEUNITE.Loadsrelative to January 1999.- X04.30
a numeric vector containing further observations of
X04.30inEUNITE.Loadsrelative to January 1999.- X05.00
a numeric vector containing further observations of
X05.00inEUNITE.Loadsrelative to January 1999.- X05.30
a numeric vector containing further observations of
X05.30inEUNITE.Loadsrelative to January 1999.- X06.00
a numeric vector containing further observations of
X06.00inEUNITE.Loadsrelative to January 1999.- X06.30
a numeric vector containing further observations of
X06.30inEUNITE.Loadsrelative to January 1999.- X07.00
a numeric vector containing further observations of
X07.00inEUNITE.Loadsrelative to January 1999.- X07.30
a numeric vector containing further observations of
X07.30inEUNITE.Loadsrelative to January 1999.- X08.00
a numeric vector containing further observations of
X08.00inEUNITE.Loadsrelative to January 1999.- X08.30
a numeric vector containing further observations of
X08.30inEUNITE.Loadsrelative to January 1999.- X09.00
a numeric vector containing further observations of
X09.00inEUNITE.Loadsrelative to January 1999.- X09.30
a numeric vector containing further observations of
X09.30inEUNITE.Loadsrelative to January 1999.- X10.00
a numeric vector containing further observations of
X10.00inEUNITE.Loadsrelative to January 1999.- X10.30
a numeric vector containing further observations of
X10.30inEUNITE.Loadsrelative to January 1999.- X11.00
a numeric vector containing further observations of
X11.00inEUNITE.Loadsrelative to January 1999.- X11.30
a numeric vector containing further observations of
X11.30inEUNITE.Loadsrelative to January 1999.- X12.00
a numeric vector containing further observations of
X12.00inEUNITE.Loadsrelative to January 1999.- X12.30
a numeric vector containing further observations of
X12.30inEUNITE.Loadsrelative to January 1999.- X13.00
a numeric vector containing further observations of
X13.00inEUNITE.Loadsrelative to January 1999.- X13.30
a numeric vector containing further observations of
X13.30inEUNITE.Loadsrelative to January 1999.- X14.00
a numeric vector containing further observations of
X14.00inEUNITE.Loadsrelative to January 1999.- X14.30
a numeric vector containing further observations of
X14.30inEUNITE.Loadsrelative to January 1999.- X15.00
a numeric vector containing further observations of
X15.00inEUNITE.Loadsrelative to January 1999.- X15.30
a numeric vector containing further observations of
X15.30inEUNITE.Loadsrelative to January 1999.- X16.00
a numeric vector containing further observations of
X16.00inEUNITE.Loadsrelative to January 1999.- X16.30
a numeric vector containing further observations of
X16.30inEUNITE.Loadsrelative to January 1999.- X17.00
a numeric vector containing further observations of
X17.00inEUNITE.Loadsrelative to January 1999.- X17.30
a numeric vector containing further observations of
X17.30inEUNITE.Loadsrelative to January 1999.- X18.00
a numeric vector containing further observations of
X18.00inEUNITE.Loadsrelative to January 1999.- X18.30
a numeric vector containing further observations of
X18.30inEUNITE.Loadsrelative to January 1999.- X19.00
a numeric vector containing further observations of
X19.00inEUNITE.Loadsrelative to January 1999.- X19.30
a numeric vector containing further observations of
X19.30inEUNITE.Loadsrelative to January 1999.- X20.00
a numeric vector containing further observations of
X20.00inEUNITE.Loadsrelative to January 1999.- X20.30
a numeric vector containing further observations of
X20.30inEUNITE.Loadsrelative to January 1999.- X21.00
a numeric vector containing further observations of
X21.00inEUNITE.Loadsrelative to January 1999.- X21.30
a numeric vector containing further observations of
X21.30inEUNITE.Loadsrelative to January 1999.- X22.00
a numeric vector containing further observations of
X22.00inEUNITE.Loadsrelative to January 1999.- X22.30
a numeric vector containing further observations of
X22.30inEUNITE.Loadsrelative to January 1999.- X23.00
a numeric vector containing further observations of
X23.00inEUNITE.Loadsrelative to January 1999.- X23.30
a numeric vector containing further observations of
X23.30inEUNITE.Loadsrelative to January 1999.- X24.00
a numeric vector containing further observations of
X24.00inEUNITE.Loadsrelative 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"]))