Prediction of Electricity Consumption in India

Satyam Verma ,Siddhant Sharma,Poovammal E

Electricity consumption forecast plays a vital role in policy making of developing countries. In this paper, the electricity consumption rate is predicted using different machine learning techniques like Support Vector Machine (SVM), Artificial Neural Network (ANN), and Linear Regression with the help of Time Series Model. The work is done for Republic of India. The data set are collected from the government of India website (, World Bank Treasures and others. The research objective is analyzing the electricity consumption rate in past years to predict future consumption. The result will help citizens of India to understand the current scenario of power production and consumption in India. It can also help government/private officials to take decision on future plans for power plant projects.

Volume 11 | 02-Special Issue

Pages: 718-735