EUNITE.Reg: Electrical loads regressors of the EUNITE Competition
In TSPred: Functions for Benchmarking Time Series Prediction

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The EUNITE Competition dataset containing a set of variables serving as regressors for the electrical loads measured between 1997 and 1998 in EUNITE.Loads.

1	EUNITE.Reg

A data frame with 730 observations on the following 2 variables.

Holiday: a numeric vector containing daily data on the holidays for the time period 1997-1998. Composed of binary values where 1 represents a holiday and 0 a common day.
Weekday: a numeric vector containing daily data on the weekdays for the time period 1997-1998. Composed of integer values where 1 represents a Sunday, 2 a Monday, 3 a Tuesday, 4 a Wednesday, 5 a Thursday, 6 a Friday and 7 a Saturday.

The EUNITE Competition proposed the prediction of maximum daily electrical loads based on half-an-hour loads (EUNITE.Loads) and average daily temperatures of 1997-1998 (EUNITE.Temp). Competitors were asked to predict the 31 values corresponding to the daily maximum electrical loads of January 1999 (EUNITE.Loads.cont). For the posed prediction problem, it is useful to consider as regressors the holidays and the weekdays with respect to this period in EUNITE.Reg, which are expected to have a considerable impact on the electrical consumption.

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.Reg.cont, EUNITE.Loads, EUNITE.Temp