An accurate performance assessment approach is extremely useful for researching the electrical properties of PV production systems because of the high cost of PV modules. The nonlinear exponential coefficients that are typically used in conventional analytical PV models must have a significant number of unidentified properties discovered before they can be used. Voltage and current are the two separate inputs of the suggested ANFIS, and the outcome is the power output of each arrangement. The recommended model's capability to analytically define current-voltage (I-V) and the conventional techniques for ANFIS-based routing ensure that the data is properly saved in the cloud. The ANFIS networks is trained using evaluation information from various PV array topologies. Results from simulations and experiments support the suggested techniques viability and efficacy.