Title :
Fuzzy based time series forecasting of electric load
Author :
Otto, P. ; Schunk, T.
Author_Institution :
Tech. Univ. Ilmenau, Ilmenau, Germany
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
The paper presents a new method for the forecast of time series. This method requires no model of the signal process. It is based on an arrangement of the current situation with situations from the past. With the aid of a fuzzy-processing algorithm, the forecast values are determined from this arrangement. The effectiveness is shown at an example for electric load forecast of a power distribution company.
Keywords :
fuzzy set theory; load forecasting; power distribution; time series; electric load forecast; forecast value; fuzzy-based time series forecasting; fuzzy-processing algorithm; power distribution company; Companies; Current measurement; Load forecasting; Load modeling; Power distribution; Predictive models; Time series analysis; electric load; forecast; fuzzy-methods; time series;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
