International Journal of Neutrosophic Science

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https://doi.org/10.54216/IJNS

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2690-6805ISSN (Online) 2692-6148ISSN (Print)

Volume 20 , Issue 4 , PP: 240-259, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy

Mohammed Alqarni 1 * , Ahmed H. Samak 2 , Safaa S. I. Ismail 3 , Rasha M. Abd El-Aziz 4 , Ahmed I. Taloba 5

  • 1 Electrical Engineering Department, College of Engineering, University of Business and Technology, Jeddah 23847, Saudi Arabia - (M.alqarni@ubt.edu.sa)
  • 2 Department of Computer Science, College of Computing and Information Technology, University of Bisha, Bisha 61922, P. O. Box 551, Saudi Arabia. - (ahismail@ub.edu.sa)
  • 3 Department of Mathematics, Faculty of Science, New Valley University, El-Kharga 72511, Egypt, Egypt. - (safaasobhy1982@scinv.au.edu.eg)
  • 4 Department of Computer Science, College of Science and Arts in Gurayat, Jouf University, Saudi Arabia; Computer Science Department, Faculty of Computers and Information Assiut University, Egypt - (rashamahmoud@aun.edu.eg)
  • 5 Information System Department, Faculty of Computers and Information, Assiut University, Assiut, Egypt - ( Taloba@aun.edu.eg)
  • Doi: https://doi.org/10.54216/IJNS.200422

    Received: January 10, 2023 Accepted: April 18, 2023
    Abstract

    One of the primary sources of renewable energy in the coming years is thought to be solar energy. Solar energy and other renewable energy sources do, moreover, have a disadvantage in that it is hard to forecast when they will be available. The best use of solar energy is impacted by this issue, particularly when it is combined with other sources. As a result, the organization and economy of solar energy depend on accurate solar energy forecasting techniques. Predicting solar energy shortly is the study’s major goal. This paper describes the study of Neutrosophic fuzzy logic with artificial neural networks (NFL-ANN) to anticipate solar photovoltaic (PV) plant output power with the use of specified input factors known as meteorological information, such as sunshine length, humidity levels, temperature, air pressure, and others, artificial neural networks are used to forecast the outcome. NFL represents a generalised logic, which can manage stochasticity learning mistakes and unpredictability that fuzzy logic lacks. It offers the results of the calculation section. Excellent performance computer processors and NFL provide reasonable accuracy estimates of solar plant outputs as well as system reliability to consider environmental factors. The investigation was carried out with the use of MATLAB programming. With the assistance of statistical markers like mean absolute percentage error (MAPE), mean absolute error (MAE), root means square error (RMSE), and determinant coefficient, the suggested NFL-ANN approach is evaluated and compared to other approaches that are already in use. In comparison to existing techniques, the suggested NFL-ANN provides superior accuracy and lesser prediction error, according to the study’s findings. This research will be enhanced to forecast power without any loss.

    Keywords :

    Solar energy , short-term , fuzzy logic , neutrosophic logic , prediction , ANN , photovoltaic plant , meteorological , NFL classifier

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    Cite This Article As :
    Alqarni, Mohammed. , H., Ahmed. , S., Safaa. , M., Rasha. , I., Ahmed. Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy. International Journal of Neutrosophic Science, vol. , no. , 2023, pp. 240-259. DOI: https://doi.org/10.54216/IJNS.200422
    Alqarni, M. H., A. S., S. M., R. I., A. (2023). Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy. International Journal of Neutrosophic Science, (), 240-259. DOI: https://doi.org/10.54216/IJNS.200422
    Alqarni, Mohammed. H., Ahmed. S., Safaa. M., Rasha. I., Ahmed. Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy. International Journal of Neutrosophic Science , no. (2023): 240-259. DOI: https://doi.org/10.54216/IJNS.200422
    Alqarni, M. , H., A. , S., S. , M., R. , I., A. (2023) . Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy. International Journal of Neutrosophic Science , () , 240-259 . DOI: https://doi.org/10.54216/IJNS.200422
    Alqarni M. , H. A. , S. S. , M. R. , I. A. [2023]. Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy. International Journal of Neutrosophic Science. (): 240-259. DOI: https://doi.org/10.54216/IJNS.200422
    Alqarni, M. H., A. S., S. M., R. I., A. "Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy," International Journal of Neutrosophic Science, vol. , no. , pp. 240-259, 2023. DOI: https://doi.org/10.54216/IJNS.200422