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Analysis of residuals in daily solar radiation time series

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  • Sulaiman, M.Yusof
  • Hlaing oo, W.M.
  • Wahab, Mahdi Abd.
  • Sulaiman, Z.Abidin

Abstract

The Box-Jenkins approach is applied to daily solar radiation data from four different locations in Malaysia. The deterministic annual component is obtained by Fourier analysis. The stochastic component of the time series is fitted to three models, ARMA (1,0), ARMA (2,0) and ARMA (1,1). Random shocks from these models are tested by Box-Pierce statistic and Ljung-Box for whiteness of residuals. Skewness and kurtosis coefficients are tested for normality.

Suggested Citation

  • Sulaiman, M.Yusof & Hlaing oo, W.M. & Wahab, Mahdi Abd. & Sulaiman, Z.Abidin, 1997. "Analysis of residuals in daily solar radiation time series," Renewable Energy, Elsevier, vol. 11(1), pages 97-105.
    • Handle: RePEc:eee:renene:v:11:y:1997:i:1:p:97-105
    DOI: 10.1016/S0960-1481(96)00110-3
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    Cited by:

    1. Hassan, Jamal, 2014. "ARIMA and regression models for prediction of daily and monthly clearness index," Renewable Energy, Elsevier, vol. 68(C), pages 421-427.
    2. Ntumba Marc-Alain Mutombo & Bubele Papy Numbi, 2022. "The Development of ARIMA Models for the Clear Sky Beam and Diffuse Optical Depths for HVAC Systems Design Using RTSM: A Case Study of the Umlazi Township Area, South Africa," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    3. Sulaiman, M.Yusof & Hlaing Oo, W.M & Abd Wahab, Mahdi & Zakaria, Azmi, 1999. "Application of beta distribution model to Malaysian sunshine data," Renewable Energy, Elsevier, vol. 18(4), pages 573-579.
    4. Brahim Belmahdi & Mohamed Louzazni & Mousa Marzband & Abdelmajid El Bouardi, 2023. "Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study," Forecasting, MDPI, vol. 5(1), pages 1-24, January.

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