Weather data errors analysis in solar power stations generation forecasting

Stanislav Eroshenko; Alexandra Khalyasmaa

doi:10.1051/e3sconf/20185102002

All issues

Volume 51 (2018)

E3S Web Conf., 51 (2018) 02002

References

Open Access

Issue		E3S Web Conf. Volume 51, 2018 2018 3^rd 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

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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]
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]
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[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]