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Energy Sources, Part B: Economics, Planning, and Policy Volume 11, 2016 - Issue 5
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Articles

Modelling and forecasting energy consumption in INDIA: Influence of socioeconomic variables

L. SuganthiDepartment of Management Studies, College of Engineering, Guindy, Anna University, Chennai, IndiaCorrespondence[email protected]
&
Anand A. SamuelDepartment of Mechanical Engineering, VIT University, Vellore, India
Pages 404-411 | Published online: 13 Jun 2016

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Arun Kumar Dwivedi & Archana Soni. (2022) Drivers and critical paths of carbon emissions in India: a structural path decomposition analysis. Energy Sources, Part B: Economics, Planning, and Policy 17:1.
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Jean G. Tamba, Jean L. Nsouandélé, Emmanuel F. Sapnken & Francis L. Djanna Koffi. (2017) The variability of diesel demand in Cameroon. Energy Sources, Part B: Economics, Planning, and Policy 12:10, pages 868-875.
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Emmanuel Flavian Sapnken, Jean Gaston Tamba & Francis Lenine Djanna Koffi. (2017) The variability of gasoline demand in Cameroon. Energy Sources, Part B: Economics, Planning, and Policy 12:9, pages 772-778.
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Articles from other publishers (10)

Carolina Deina, João Lucas Ferreira dos Santos, Lucas Henrique Biuk, Mauro Lizot, Attilio Converti, Hugo Valadares Siqueira & Flavio Trojan. (2023) Forecasting Electricity Demand by Neural Networks and Definition of Inputs by Multi-Criteria Analysis. Energies 16:4, pages 1712.
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Yan Guo, Dezhao Tang, Wei Tang, Senqi Yang, Qichao Tang, Yang Feng & Fang Zhang. (2022) Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors. Sustainability 14:17, pages 10483.
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Sunil Malla. (2022) An outlook of end-use energy demand based on a clean energy and technology transformation of the household sector in Nepal. Energy 238, pages 121810.
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Rabindra Nepal, Bikash Sharma & M. Indra al Irsyad. (2020) Scarce data and energy research: Estimating regional energy consumption in complex economies. Economic Analysis and Policy 65, pages 139-152.
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Kadir Kavaklioglu. (2018) Principal components based robust vector autoregression prediction of Turkey’s electricity consumption. Energy Systems 10:4, pages 889-910.
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Shuyu Li & Qiang Wang. (2019) India's dependence on foreign oil will exceed 90% around 2025 - The forecasting results based on two hybridized NMGM-ARIMA and NMGM-BP models. Journal of Cleaner Production 232, pages 137-153.
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Qiang Wang, Shuyu Li & Rongrong Li. (2018) Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques. Energy 161, pages 821-831.
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Pruethsan Sutthichaimethee & Kuskana Kubaha. (2018) The Efficiency of Long-Term Forecasting Model on Final Energy Consumption in Thailand’s Petroleum Industries Sector: Enriching the LT-ARIMAXS Model under a Sustainability Policy. Energies 11:8, pages 2063.
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Feng Jiang, Xue Yang & Shuyu Li. (2018) Comparison of Forecasting India’s Energy Demand Using an MGM, ARIMA Model, MGM-ARIMA Model, and BP Neural Network Model. Sustainability 10:7, pages 2225.
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Konstantinos Kokkinos, Elpiniki Papageorgiou, Vassilios Dafopoulos & Ioannis Adritsos. 2017. Intelligent Decision Support Systems for Sustainable Computing. Intelligent Decision Support Systems for Sustainable Computing 33 52 .

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