Open Access
Issue
E3S Web Conf.
Volume 51, 2018
2018 3rd International Conference on Advances on Clean Energy Research (ICACER 2018)
Article Number 02002
Number of page(s) 6
Section Solar Energy Utilization and Power Generation Technology
DOI https://doi.org/10.1051/e3sconf/20185102002
Published online 24 August 2018
  1. W. Glassley, J. Kleissl. Current state of the art in solar forecasting. California Renewable Energy Collaborative Final Report. 2013. [Google Scholar]
  2. D.A. Snegirev, S.A. Eroshenko, R.T. Valiev, A.I. Khalyasmaa. Algorithmic realization of short-term solar power plant output forecasting. Proceedings of 2017 IEEE 2nd International Conference on Control in Technical Systems, CTS 2017. Pp. 228-231. [Google Scholar]
  3. K.N. Shukla, Saroj Rangnekarb, K. Sudhakar. Comparative study of isotropic and anisotropic sky models to estimate solar radiation incident on tilted surface. Energy Reports 1, pp. 96-103. 2015. [CrossRef] [Google Scholar]
  4. W.D. Turner, A. Mujahid. The Estimation of Hourly Global Solar Radiation Using a Cloud Cover Model Developed at Blytheville. American Meteorological Society. 1984, pp. 781-786. [Google Scholar]
  5. M. Paulescu, E. Paulescu, P. Gravila, V. Badescu. Weather Modeling and Forecasting of PV Systems Operation. Springer. 2013. [CrossRef] [Google Scholar]
  6. V. Prema, K. Uma Rao. Development of statistical time series models for solar power prediction. Renewable energy. 2015. [Google Scholar]
  7. M. Abuella, B. Chowdhury. Solar Power Probabilistic Forecasting by Using Multiple Linear Regression Analysis. Department of Electrical and Computer Engineering, University of North Carolina, USA. 2015. [Google Scholar]
  8. A. Gondalia, C. Shah. Solar power forecasting analysis of trends in modeling techniques and error minimization mechanism. 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, India, 2017, pp. 1860-1866. [Google Scholar]
  9. V. Layanun, S. Suksamosorn, J. Songsiri, “Missing-data imputation for solar irradiance forecasting in Thailand,” 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Kanazawa, 2017, pp. 1234-1239. [CrossRef] [Google Scholar]
  10. M. Alanazi, M. Mahoor, A. Khodaei. Two-stage hybrid day-ahead solar forecasting. 2017 North American Power Symposium (NAPS), Morgantown, WV, 2017, pp. 1-6. [Google Scholar]

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