ANFIS based Prediction of Monthly Average Global Solar Radiation over Bhubaneswar (State of Odisha)
نویسنده
چکیده
The paper presents an adaptive neuro-fuzzy inference system (ANFIS) based modeling approach to predict the monthly global solar radiation (MGSR) in Bhubaneswar. Comparisons of the predicted and measured value of monthly global solar radiation (GSR) on a horizontal surface are presented. The input parameters of the model used in this paper are sunshine duration, temperature, humidity, clearness index and the Global solar radiation is taken as the output. An adaptive neuro-fuzzy inference system based modeling is used to predict the monthly Global solar radiation for Bhubaneswar for five years 2000-2004.The solar radiation data for forty months are used for training the ANFIS and the data for twelve months is used for testing. The purpose of the study is to compare the accuracy of ANFIS with the measured value Calculated by using Angstrom’s equation and some intelligent techniques (Neural Network & SVM)
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