Forecasting of commercial energy consumption in India using Artificial Neural Network

S. Jebaraj, S. Iniyan and Hemanth Kota

International Journal of Global Energy Issues, 2007, vol. 27, issue 3, 276-301

Abstract: The forecasting of energy consumption is essential for any country to study the future energy demand and to introduce the necessary government policies. This paper presents the formulation of forecasting models based on the Artificial Neural Network (ANN) for the consumption of conventional energy sources. In India, the total energy consumption for coal, oil, electricity and natural gas would be 1594.84 million tones, 720.69 million tones, 1395754 GWh and 137169.1 million cu.m respectively in the year 2030. The actual consumption data is used to validate the different forecasting models and it is found that the ANN model gives better results in most of the cases.

Keywords: commercial energy sources; artificial neural networks; ANNs; energy forecasting; energy consumption; India; government policy; coal; oil; electricity; natural gas. (search for similar items in EconPapers)
Date: 2007
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