Abstract

The estimation of solar photovoltaic (PV) system with help of electrical model parameters, such
as photon generated current, the diode saturation current, series resistance, shunt resistance, and
diode ideality factor, are desirable to predict the real performance characteristics of solar PV
under varying environmental conditions. Finally, performance indices, such as PV characteristics
curve are estimated for the various solar PV panels using GHNN optimization technique.

Keywords

Generalized Hopfield Neural Network (GHNN), Photovoltaic (PV),

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References

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