In this paper a general second order semi-Markov reward model is presented. Equations for the higher order moments of the reward process are presented for the firstb time and applied to wind energy production. The application is executed by considering a database, freely available from the web, that includes wind speed data taken from L.S.I. - Lastem station (Italy) and sampled every 10 minutes.We compute the expectation, the variancet, the skewness and the kurtosis of the total energy produced by using the commercial blade Aircon HAWT - 10 kW.t
Performance analysis of second order semi-Markov chains: an application to wind energy production / Petroni, Filippo; Prattico, Flavio; D'Amico, Guglielmo. - In: METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY. - ISSN 1573-7713. - 17(2015), pp. 781-794. [10.1007/s11009-013-9394-z]
Performance analysis of second order semi-Markov chains: an application to wind energy production
PETRONI, Filippo;PRATTICO, FLAVIO;D'AMICO, GUGLIELMO
2015
Abstract
In this paper a general second order semi-Markov reward model is presented. Equations for the higher order moments of the reward process are presented for the firstb time and applied to wind energy production. The application is executed by considering a database, freely available from the web, that includes wind speed data taken from L.S.I. - Lastem station (Italy) and sampled every 10 minutes.We compute the expectation, the variancet, the skewness and the kurtosis of the total energy produced by using the commercial blade Aircon HAWT - 10 kW.tFile | Dimensione | Formato | |
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Prattico_Performance -Analysis_2015.pdf
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