R/EUNITE.Temp.r

In TSPred: Functions for Benchmarking Time Series Prediction

#' Temperatures of the EUNITE Competition
#' 
#' The EUNITE Competition dataset composed of a univariate time series of
#' average daily temperatures measured between 1995 and 1998.
#' 
#' The EUNITE Competition proposed the prediction of maximum daily electrical
#' loads based on half-an-hour loads (\code{\link{EUNITE.Loads}}) and average
#' daily temperatures of 1997-1998, where the latter is used as a regressor.
#' Competitors were asked to predict the 31 values corresponding to the daily
#' maximum electrical loads of January 1999 (\code{\link{EUNITE.Loads.cont}}).
#' For the posed prediction problem, the average daily temperatures of January
#' 1999 must also be predicted and for that, the use of data on average daily
#' temperatures of 1995-1996 was allowed.
#' 
#' @name EUNITE.Temp
#' @docType data
#' @format A data frame with 1461 observations on the following variable.
#' \describe{ \item{Temperature}{a numeric vector with average daily
#' temperatures measured in the period 1995-1998.} }
#' @seealso \code{\link{EUNITE.Temp.cont}}, \code{\link{EUNITE.Loads}},
#' \code{\link{EUNITE.Reg}}
#' @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.
#' @source EUNITE 1999, Electricity Load Forecast using Intelligent Adaptive
#' Technology: The EUNITE Network Competition. URL:
#' \url{http://www.eunite.org/knowledge/Competitions/1st_competition/1st_competition.htm}. 
#' @keywords datasets EUNITE Time Series Competition
#' @examples
#' 
#' data(EUNITE.Temp)
#' str(EUNITE.Temp)
#' plot(ts(EUNITE.Temp))
#' 
"EUNITE.Temp"
#> [1] "EUNITE.Temp"