EUNITE.Temp: Temperatures of the EUNITE Competition

In TSPred: Functions for Benchmarking Time Series Prediction

Description

The EUNITE Competition dataset composed of a univariate time series of average daily temperatures measured between 1995 and 1998.

Usage

EUNITE.Temp

Format

A data frame with 1461 observations on the following variable.

Temperature

a numeric vector with average daily temperatures measured in the period 1995-1998.

Details

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, 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 (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.

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

Examples

data(EUNITE.Temp)
str(EUNITE.Temp)
plot(ts(EUNITE.Temp))

TSPred documentation built on Jan. 21, 2021, 5:10 p.m.