GENERATION OF WIND-SERIES USING CUMULATIVE PROBABILITY WIND TRANSITION MATRIX-A FIRST ORDER MARKOV PROCESS

Authors

  • A. MASCARENHAS
  • A. D. GOUVEIA
  • R. G. PRABHU DESAI

DOI:

https://doi.org/10.54302/mausam.v45i3.2487

Keywords:

Transition matrix, Wind series, Markov process

Abstract

One appl ica tion ofihe cuuiulative probability wind tra ns ition matrix is 10 determine the various
prnhal"lk ....i n,1....-ries th ai mi1;\'hl occur. during the period fur which offs hore oilspil1 risk is 10 be analysed. Du ring th is
;Inalpli ~ ""'t" haw to gene la te different probable "';110.1 conditions at d iff erent Instances oftime. OnC" ur lhe method s to
siumlutcthe nl lhlu m wind behaviourt hrough lime. is 10 U ~ h istorical wi nd da ta presented in the fon n of wi nd Ira n...
ilion lItutrix. Th is pa per h it;hli.::hts th r- 1llC'l h(Klulog)' and use ofthe cumulat ive probability v.i nd transition matrix. in
~t'lh"ral ill~ 1111' ,Iifferl:'nl proba ble wind-series.

 

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Published

01-07-1994

How to Cite

[1]
A. . MASCARENHAS, A. D. . GOUVEIA, and R. G. P. . . DESAI, “GENERATION OF WIND-SERIES USING CUMULATIVE PROBABILITY WIND TRANSITION MATRIX-A FIRST ORDER MARKOV PROCESS”, MAUSAM, vol. 45, no. 3, pp. 267–270, Jul. 1994.

Issue

Section

Shorter Contribution