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
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