fluctuation limit
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2016 ◽  
Vol 164 (4) ◽  
pp. 890-936
Author(s):  
Zhen-Qing Chen ◽  
Wai-Tong Louis Fan




2014 ◽  
Vol 556-562 ◽  
pp. 1826-1829
Author(s):  
Jia Ming Li ◽  
Peng Li

The development and application of energy storage technology was described. Based on wind power fluctuation limit and system peaking demand in the smart grid, a novel optimized operation strategy between wind power and energy storage devices. The correctness of the strategy is verified by numerical example.



2011 ◽  
Vol 31 ◽  
pp. 55-72
Author(s):  
José Alfredo López-Mimbela ◽  
Antonio Murillo-Salas


2007 ◽  
Author(s):  
Metin Demi̇ralp ◽  
Theodore E. Simos ◽  
George Maroulis


2006 ◽  
Vol 76 (4) ◽  
pp. 401-411 ◽  
Author(s):  
Zenghu Li ◽  
Mei Zhang


2005 ◽  
Vol 37 (02) ◽  
pp. 523-538 ◽  
Author(s):  
M. Ispány ◽  
G. Pap ◽  
M. C. A. van Zuijlen

We investigate a sequence of Galton-Watson branching processes with immigration, where the offspring mean tends to its critical value 1 and the offspring variance tends to 0. It is shown that the fluctuation limit is an Ornstein-Uhlenbeck-type process. As a consequence, in contrast to the case in which the offspring variance tends to a positive limit, it transpires that the conditional least-squares estimator of the offspring mean is asymptotically normal. The norming factor is n 3/2, in contrast to both the subcritical case, in which it is n 1/2, and the nearly critical case with positive limiting offspring variance, in which it is n.



2005 ◽  
Vol 37 (2) ◽  
pp. 523-538 ◽  
Author(s):  
M. Ispány ◽  
G. Pap ◽  
M. C. A. van Zuijlen

We investigate a sequence of Galton-Watson branching processes with immigration, where the offspring mean tends to its critical value 1 and the offspring variance tends to 0. It is shown that the fluctuation limit is an Ornstein-Uhlenbeck-type process. As a consequence, in contrast to the case in which the offspring variance tends to a positive limit, it transpires that the conditional least-squares estimator of the offspring mean is asymptotically normal. The norming factor is n3/2, in contrast to both the subcritical case, in which it is n1/2, and the nearly critical case with positive limiting offspring variance, in which it is n.



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