Performance prediction of a hybrid microgeneration system using Adaptive Neuro-Fuzzy Inference System (ANFIS) technique

The validation results confirm the applicability of the developed ANFIS models for predicting system operating temperatures over a wide range of operational conditions. The study demonstrates that the integrated system model is capable of predicting the system's seasonal performance with a high degree of accuracy and minimum time demand, and can effectively replace the costly and time consuming real-life experiments and trails.