EUNITE.Temp: EUNITE Competition – Average Daily Temperatures

In tspredit: Time Series Prediction with Integrated Tuning

EUNITE Competition – Average Daily Temperatures

Description

Average daily temperatures collected for the EUNITE load-forecasting competition. Data Type: Meteorological measurements. Category: Benchmark. Observations: 1,461. The series covers 1995-1998 and was used as an exogenous regressor for predicting maximum daily electrical loads. Participants were asked to forecast January 1999 values.

Usage

data(EUNITE.Temp)

Format

A data frame with one numeric column and 1,461 rows (average daily temperature).

Details

Daily temperatures are commonly used as exogenous variables for load forecasting due to strong weather dependence. This series aligns with the period covered by EUNITE.Loads.

Source

EUNITE Competition 2001 dataset (original competition website currently unavailable).

References

Chen, B.-J., Chang, M.-W., & Lin, C.-J. (2004). Load forecasting using support vector machines: a study on EUNITE competition 2001. IEEE Transactions on Power Systems, 19(4), 1821-1830.

Examples

# Load daily temperature series
data(EUNITE.Temp)
# EUNITE.Temp <- loadfulldata(EUNITE.Temp)

# Plot temperature over time
ts.plot(EUNITE.Temp$Temperature, ylab = "Temperature (°C)", xlab = "Day",
        main = "EUNITE: Daily Temperature")

tspredit documentation built on Feb. 11, 2026, 9:08 a.m.