ANFIS model for prediction of water temperature for Scheffler solar reflector

Abstract

A soft computing prediction model for Scheffler reflector is made to predict the temperature of water obtained by absorption of solar energy. In this model Adaptive Neuro Fuzzy Interface System (ANFIS) based on 1st order of the Takagi–Sugeno model is used which predicts system behavior. Input parameters used in the model are intensity of radiation, ambient temperature and time of experimentation and the output parameter is generated water temperature. The model gave excellent prediction ability for Scheffler reflector.

Keywords

• Scheffler reflector
• ANFIS
• prediction model