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Stochastic modeling and generation of synthetic sequences of hourly global solar irradiation at Quetta, Pakistan

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  • Kamal, Lalarukh
  • Jafri, Yasmin Zahra

Abstract

Using hourly global radiation data at Quetta, Pakistan for 10 yr, an Autoregressive Moving Average (ARMA) process is fitted. Markov Transition Matrices have also been developed. These models are used for generating synthetic sequences for hourly radiations in MJ/m2 and that the generated sequences are compared with the observed data. We found the MTM approach relatively better as a simulator compared to ARMA modeling.

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  • Kamal, Lalarukh & Jafri, Yasmin Zahra, 1999. "Stochastic modeling and generation of synthetic sequences of hourly global solar irradiation at Quetta, Pakistan," Renewable Energy, Elsevier, vol. 18(4), pages 565-572.
    • Handle: RePEc:eee:renene:v:18:y:1999:i:4:p:565-572
    DOI: 10.1016/S0960-1481(99)00003-8
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    References listed on IDEAS

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    1. Festa, R. & Jain, S. & Ratto, C.F., 1992. "Stochastic modelling of daily global irradiation," Renewable Energy, Elsevier, vol. 2(1), pages 23-34.
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    Cited by:

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    2. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2013. "Probabilistic modelling and analysis of stand-alone hybrid power systems," Energy, Elsevier, vol. 63(C), pages 19-27.
    3. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.

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