Research Article
Photovoltaic Panel Efficiency Estimation with Artificial Neural Networks: Samples of Adiyaman, Malatya, and Sanliurfa
Table 7
Performance comparison of technique results.
| | Method | Used parameters | Results |
| Ref. [20] | ANN | SR, T | 98.9% | Ref. [23] | ANN | SR, T | 98-99% | Ref. [25] | ANN | SR, T | 98-99% | Ref. [28] | | T, W, H | 99.97% | Ref. [33] | ANN, waveler | SR, T, H | 97% | Ref. [34] | ANN | SR, T | 95% | Purposed Method | Module 1 | ANN | SR, T, W, H, PVT | 99.94% | Module 2 | 99.57 % |
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Temperature: T, solar radiation: SR, wind: W, humidity: H, PV module temperature: PVT.
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