Design of Artificial Neural Network Controller for Photovoltaic System
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48573-2_81
Reference5 articles.
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2. Sunny, M.S.H., Ahmed, A.N.R., Hasan, M.K.: Design and simulation of maximum power point tracking of photovoltaic system using ANN. In: 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 1–5 Sept 2016
3. Benchikh, S., Jarou, T., Nasri, E., Roa, E.: Design of an adaptive neuro fuzzy inference system for photovoltaic system. In: Farhaoui, Y., Rocha, A., Brahmia, A., Bhushab, B. (eds.) Artificial Intelligence and Smart Environment, pp. 352–358. Springer, Switzerland (2023)
4. Taherbaneh, M., Rezaie, A.H., Ghafoorifard, H., , K. Rahimi, Menhaj, M.B.: Maximizing output power of a solar panel via combination of sun tracking and maximum power point tracking by fuzzy controllers. Int. J. Photoenergy 2010, 13 (2010). https://doi.org/10.1155/2010/312580
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