Research Article

Photovoltaic Panel Efficiency Estimation with Artificial Neural Networks: Samples of Adiyaman, Malatya, and Sanliurfa

Table 7

Performance comparison of technique results.

MethodUsed parametersResults

Ref. [20]ANNSR, T98.9%
Ref. [23]ANNSR, T98-99%
Ref. [25]ANNSR, T98-99%
Ref. [28]T, W, H99.97%
Ref. [33]ANN, wavelerSR, T, H97%
Ref. [34]ANNSR, T95%
Purposed MethodModule 1ANNSR, T, W, H, PVT99.94%
Module 299.57 %

Temperature: T, solar radiation: SR, wind: W, humidity: H, PV module temperature: PVT.