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- W4308091335 abstract "Solar irradiation data is an essential input for solar-thermal and photovoltaic systems. In this case, the coherence parameter estimation is a fundamental level in solar energy applications. For this purpose, a PV system has been modeled by the parametric solver of ANSYS-Electronics software and a data set has been created for the output voltage value depending on different input variables. In this paper, marine predators’ algorithm is integrated to the multilayer perceptron algorithm in order to estimate the parameter. In the estimation level, air temperature, thermal coefficient and diffuse horizontal solar radiation parameters are evaluated in 2-tupled and 3-tupled input systems. In addition, the accuracy of the hybrid forecasting model developed is also tested on the basis of the hyperbolic tangent, sinus and sigmoid activation functions employed in the multilayer perceptron algorithm. Estimation results show that marine predators-based multilayer perceptron model is appropriate to parameter estimation, efficiently." @default.
- W4308091335 created "2022-11-08" @default.
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- W4308091335 creator A5023200512 @default.
- W4308091335 date "2022-09-18" @default.
- W4308091335 modified "2023-10-18" @default.
- W4308091335 title "Parameter Estimation of Photovoltaic System Using Marine Predators Optimization Algorithm-Based Multilayer Perceptron" @default.
- W4308091335 doi "https://doi.org/10.1109/icrera55966.2022.9922848" @default.
- W4308091335 hasPublicationYear "2022" @default.
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