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Solar irradiance forecasting using spatial-temporal covariance structures and time-forward kriging

Author

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  • Yang, Dazhi
  • Gu, Chaojun
  • Dong, Zibo
  • Jirutitijaroen, Panida
  • Chen, Nan
  • Walsh, Wilfred M.

Abstract

Electricity power grid operations require information about demand and supply on a variety of timescales and areas. The advent of significant generation contributions by time variable renewable energy sources means that forecasting methods are increasingly required. Some of the earliest requirements will be for spatial-temporal estimation of solar irradiance and the resulting photovoltaic-generated electricity. Accurate forecasts represent an important step towards building a smart grid for renewable energy driven cities or regions, and to this end we develop forecasting tools that use data from ground-based irradiance sensors.

Suggested Citation

  • Yang, Dazhi & Gu, Chaojun & Dong, Zibo & Jirutitijaroen, Panida & Chen, Nan & Walsh, Wilfred M., 2013. "Solar irradiance forecasting using spatial-temporal covariance structures and time-forward kriging," Renewable Energy, Elsevier, vol. 60(C), pages 235-245.
    • Handle: RePEc:eee:renene:v:60:y:2013:i:c:p:235-245
    DOI: 10.1016/j.renene.2013.05.030
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    References listed on IDEAS

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    1. Kaplanis, S.N., 2006. "New methodologies to estimate the hourly global solar radiation; Comparisons with existing models," Renewable Energy, Elsevier, vol. 31(6), pages 781-790.
    2. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    3. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Al-Sadah, Fayez H & Ragab, Farouk M & Arshad, Mirza K, 1990. "Hourly solar radiation over Bahrain," Energy, Elsevier, vol. 15(5), pages 395-402.
    7. Gneiting T., 2002. "Nonseparable, Stationary Covariance Functions for Space-Time Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 590-600, June.
    8. Rehman, Shafiqur & Ghori, Saleem G, 2000. "Spatial estimation of global solar radiation using geostatistics," Renewable Energy, Elsevier, vol. 21(3), pages 583-605.
    9. Baig, A. & Akhter, P. & Mufti, A., 1991. "A novel approach to estimate the clear day global radiation," Renewable Energy, Elsevier, vol. 1(1), pages 119-123.
    10. Righini, R. & Grossi Gallegos, H. & Raichijk, C., 2005. "Approach to drawing new global solar irradiation contour maps for Argentina," Renewable Energy, Elsevier, vol. 30(8), pages 1241-1255.
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