DocumentCode :
735674
Title :
A contribution to the load forecast of price elastic consumption behaviour
Author :
Klaiber, Stefan ; Bretschneider, Peter ; Waczowicz, Simon ; Mikut, Ralf ; Konotop, Irina ; Westermann, Dirk
Author_Institution :
Fraunhofer IOSB-AST, Ilmenau, Germany
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
1
Lastpage :
6
Abstract :
By influencing the demand side by means of price signals (Demand Response) additional flexibility potential in electric supply systems can be provided. However, by influencing the demand side typical consumption patterns of previously unaffected consumers are changed. This will lead to increasing uncertainty in load forecasting. This paper deals with the forecast of load time series in consideration of price-based consumption influence. Additional requirements for load forecasting methods resulting from the price elastic consumption behaviour are analysed in this paper. Furthermore, the model residuals of established model approaches will be analysed to explain the disturbance characteristic caused by the price elasticity. Finally, the impact of the model residuals on the load forecast was investigated.
Keywords :
Artificial neural networks; Correlation; Correlation coefficient; Load forecasting; Load modeling; Planning; Predictive models; Demand forecasting; consumer behaviour; demand response; time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
Type :
conf
DOI :
10.1109/PTC.2015.7232548
Filename :
7232548
Link To Document :
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