DocumentCode :
3253138
Title :
Advantages of ARMA-GARCH wind speed time series modeling
Author :
Lojowska, Alicja ; Kurowicka, Dorota ; Papaefthymiou, Georgios ; Van der Sluis, Lou
Author_Institution :
Electr. Power Syst. Group, Delft Univ. of Technol., Delft, Netherlands
fYear :
2010
fDate :
14-17 June 2010
Firstpage :
83
Lastpage :
88
Abstract :
This paper presents the advantages of using wind speed time series models from ARMA-GARCH class. The models are found using good statistical practice and are able to capture the most important characteristics of the data like distribution, time dependence structure and periodicity in a satisfying manner. It is shown that the models offer several crucial advantages. The artificial wind speeds simulated from the obtained models are statistically indistinguishable from the wind speed time series measurements recorded in other years than the original data. Moreover, models can contribute to the considerations of extreme scenarios of wind power generation by simulating wind speeds characterized by a very high energy content. Thanks to the use of continuous cdf transformations, the synthetic time series do not possess the measurement error.
Keywords :
autoregressive moving average processes; electric power generation; time series; wind power; ARMA-GARCH class; artificial wind speeds; autoregressive moving average; data like distribution; energy content; generalized autoregressive conditional heteroscedasticity; periodicity; statistical practice; time dependence structure; wind power generation; wind speed time series; Autoregressive processes; Buildings; Mathematical model; Paper technology; Power system modeling; Power system simulation; Time measurement; Velocity measurement; Wind energy; Wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
Type :
conf
DOI :
10.1109/PMAPS.2010.5528979
Filename :
5528979
Link To Document :
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