2007
DOI: 10.1016/j.energy.2007.02.008
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Demand projections of petroleum products and natural gas in India

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Cited by 67 publications
(27 citation statements)
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“…Earlier studies in natural gas demand in the developed countries primarily focus on residential demand for gas, since natural gas was primarily used for domestic heating purposes (Bloch 1980). Recently few more demand studies appeared in academic literature, most notably in India (Parikh et al 2007), but even those were for specific sectors (e.g. natural gas demand in the fertilizer sector).…”
Section: Bhattacharya and Timilsina (2009) Jebaraj And Iniyanmentioning
confidence: 99%
“…Earlier studies in natural gas demand in the developed countries primarily focus on residential demand for gas, since natural gas was primarily used for domestic heating purposes (Bloch 1980). Recently few more demand studies appeared in academic literature, most notably in India (Parikh et al 2007), but even those were for specific sectors (e.g. natural gas demand in the fertilizer sector).…”
Section: Bhattacharya and Timilsina (2009) Jebaraj And Iniyanmentioning
confidence: 99%
“…These led to the rapid developments of combined and hybrid models. [1]. Hybridization of different techniques with ANN has been successfully applied to both short term and long term energy demand forecasting.…”
Section: Non Parametric Techniques ( Artificial Intelligence ) Have Tmentioning
confidence: 99%
“…The details are as follows : 2.1.1 Multiple Linear Regression (MLR) based on least square method (LSM) has been used frequently for prediction of future energy demand. Parekh et al [1] applied MLR model to project the demand for petroleum products of India from 2011 to 2012. Zhang et al [2] forecasted the transportation energy demand in 2010,2015 and 2020 based on two scenarios.…”
Section: Parametric Techniquesmentioning
confidence: 99%
“…The modeling techniques used so far can be divided into two categories : the parametric techniques and non parametric techniques. Studies using parametric techniques [1,2,3,4,5] Cincotti .S et al [44] have highlighted the usability of computational intelligence for forecasting electricity prices. Among these artificial intelligence based methodology, artificial neural network (ANN) has emerged as one of the most prominent technique that has become very popular with the researchers.…”
Section: Introductionmentioning
confidence: 99%