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ESANN
2004

Soft-computing techniques for time series forecasting

9 years 11 months ago
Soft-computing techniques for time series forecasting
One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting way is to perform a competition. In this paper we shortly discuss the competition organized by EUNITE for an electricity load forecasting. Given the temperature and the electricity load from 1997 to 1998, the competitors are asked to supply the prediction of maximum daily values of electrical loads for January 1999 (31 data values altogether, including some holidays). In total, 56 registered competitors from 21 countries were submitted. A summary of the contribution of the best papers along with some remarks about the use of softcomputing in time-series forecasting and future trends are presented in this paper.
Ignacio Rojas Ruiz, Héctor Pomares
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Ignacio Rojas Ruiz, Héctor Pomares
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