Prediction of india’s industrial sector electricity consumption using ANFIS

Abstract

The objective of this study is, to predict the industrial sector electricity consumption in India, using the Adaptive Neuro Fuzzy Inference System (ANFIS). ANFIS technique is more suitable for uncertain and ambiguous data. Gross National Product (GNP), imports and exports are selected as the input variables. The electricity consumption of industrial sector is the predicted output variable. A 29 year data set is used to train the network and 9 years data set is used to test the network. Mean Absolute Percentage Error (MAPE) is used as performance evaluation criteria. The prediction is carried out for the period 2014–2021.