Real-time weather data analysis by the solar fuzzy logic-based MPPT controller-Reference-Cited by-同舟云学术

Real-time weather data analysis by the solar fuzzy logic-based MPPT controller

Published:2023-09-18 Issue:4 Volume:89 Page:924-940
ISSN:0370-0046
Container-title:Proceedings of the Indian National Science Academy
language:en
Short-container-title:Proc.Indian Natl. Sci. Acad.

Author:

Bhati Harsh^ORCID,Gidwani Lata

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s43538-023-00209-2.pdf

Reference9 articles.

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2. Eltamaly, A.M., Farh, H.M.H., Othman, M.F.: A novel evaluation index for the photovoltaic maximum power point tracker techniques. Sol. Energy 174, 940–956 (2018). https://doi.org/10.1016/j.solener.2018.09.060

3. Gupta, A., Chauhan, Y.K., Pachauri, R.K.: A comparative investigation of maximum power point tracking methods for solar PV system. Sol. Energy. 136, 236–253 (2016). https://doi.org/10.1016/j.solener.2016.07.001

4. Ibrahim, S.A., Nasr, A., Enany, M.A.: Maximum power point tracking using ANFIS for a reconfigurable PV-based battery charger under non-uniform operating conditions. IEEE Access 9, 114457–114467 (2021). https://doi.org/10.1109/ACCESS.2021.3103039

5. Kumar, K., Babu, R.N., Prabhu, K.R.: Design and analysis of RBFN-based single MPPT controller for hybrid solar and wind energy system. IEEE Access 5, 15308–15317 (2017). https://doi.org/10.1109/ACCESS.2017.2733555