Kalman filter model, as a tool for short-term forecasting of solar potential: case of the Dakar site

A. Mbaye; J. Ndong; M.L. NDiaye; M. Sylla; M.C. Aidara; M. Diaw; M.F. NDiaye; Papa Alioune Ndiaye; A. Ndiaye

doi:10.1051/e3sconf/20185701004

All issues

Volume 57 (2018)

E3S Web Conf., 57 (2018) 01004

References

Open Access

Issue		E3S Web Conf. Volume 57, 2018 2018 3^rd International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2018)


Article Number		01004
Number of page(s)		4
Section		Clean Energy Development and Utilization
DOI		https://doi.org/10.1051/e3sconf/20185701004
Published online		05 October 2018

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[1] A. K. Yadav and S. S. Chandel. Solar radiation prediction using Artificial Neural Network techniques. Sustainable Energy, 2014; 33:772–781. [CrossRef] [Google Scholar]

[2] M. Ikhsan and al. Study of Renewable Energy Sources Capacity and Loading Using Data Logger for Sizing of Solar-wind Hybrid Power System. Procedia Technol, 2013; 11:1048–1053. [CrossRef] [Google Scholar]

[3] A. Mellit and al. Short-term forecasting of power production in a largescale photovoltaic plant. Solar Energy, 2014; 105:401–413. [CrossRef] [Google Scholar]

[4] H. Madsen and al. A tool for predicting the wind power production of offshore wind plants.in Proceedings of the Copenhagen Offshore Wind Conference & Exhibition, 2005. [Google Scholar]

[5] PJ. Brockwell and Davis RA. Time series: theory and methods. Springer series in statistics, second edition, 2006. [Google Scholar]

[6] JD. Hamilton. Times series analysis, 1994. [Google Scholar]

[7] T. Soubdhan, J Ndong and al. A robust forecasting framework based on the Kalman filtering approach with a twofold parameter tuning procedure: Application to solar and photovoltaic prediction. Solar Energy, 2016; 131:246–259. [CrossRef] [Google Scholar]

[8] DJ. Docimo and al. Extended Kalman Filtering to estimate temperature and irradiation for maximum power point tracking of a photovoltaïque. Energy, Elsevier, 2017; 120:47–57. [CrossRef] [Google Scholar]

[9] J. Antonanzas and al. Review of photovoltaic power forecasting. Solar Energy, 2016; 136: 78–111. [CrossRef] [Google Scholar]

[10] G. Lorenzo and al. Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants. IEEE Transactions on Sustainable Energy, 2017;99:1–1. [Google Scholar]

[11] M. Pierro and al. Data-drivenupscaling methods for regional photvoltaic power estimation and forecast using satellite and numerical weather prediction data. Solar Energy, 2017; 158:1026–1038. [CrossRef] [Google Scholar]