Published January 1, 2018
| Version v1
Conference paper
Open
The ANFIS as a Prediction Method of Efficiency of PV Cells
- 1. Nisantasi Univ, Fac Engn & Arch, Dept Elect & Elect Engn, Istanbul, Turkey
- 2. Nisantasi Univ, Fac Engn & Arch, Dept Comp Engn, Istanbul, Turkey
- 3. Yildiz Tech Univ, Fac Art & Sci, Dept Phys, Istanbul, Turkey
Description
In this study, the efficiency and output voltage of the photo-voltaic (PV) cells which is doped with Boric acid (113803) at different concentrations ((0, 0.625, 1.25, 2.50, 3.75 and 5.00 mg / ml) has been predicted using Adaptive Neural Fuzzy Inference System (ANF1S) as artificial intelligence methods. We have shown that the results obtained with ANFIS are in harmony with experimental studies. Therefore, the ANFIS method can be handled as a practical tool to predict output voltage of the PV cells under different conditions.
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