Forecasting of commercial energy consumption in India using Artificial Neural Network

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 s...

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Main Authors: S, Jebaraj, S, Iniyan, H, Kota
Format: Article
Published: 2007
Online Access:http://eprints.utp.edu.my/11683/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.116832015-09-08T03:52:27Z Forecasting of commercial energy consumption in India using Artificial Neural Network S, Jebaraj S, Iniyan H, Kota 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. 2007 Article PeerReviewed S, Jebaraj and S, Iniyan and H, Kota (2007) Forecasting of commercial energy consumption in India using Artificial Neural Network. International Journal of Global Energy Issues, 27 (3). http://eprints.utp.edu.my/11683/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Article
author S, Jebaraj
S, Iniyan
H, Kota
spellingShingle S, Jebaraj
S, Iniyan
H, Kota
Forecasting of commercial energy consumption in India using Artificial Neural Network
author_facet S, Jebaraj
S, Iniyan
H, Kota
author_sort S, Jebaraj
title Forecasting of commercial energy consumption in India using Artificial Neural Network
title_short Forecasting of commercial energy consumption in India using Artificial Neural Network
title_full Forecasting of commercial energy consumption in India using Artificial Neural Network
title_fullStr Forecasting of commercial energy consumption in India using Artificial Neural Network
title_full_unstemmed Forecasting of commercial energy consumption in India using Artificial Neural Network
title_sort forecasting of commercial energy consumption in india using artificial neural network
publishDate 2007
url http://eprints.utp.edu.my/11683/
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