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A Meta Model for Domestic Energy Consumption

Author

Listed:
  • K.J. Sreekanth

    (Department of Mechanical Engineering, National Institute of Technology, India)

  • S. Jayarah

    (Department of Mechanical Engineering, National Institute of Technology, India)

  • N. Sudarsan

    (Department of Mechanical Engineering, National Institute of Technology, India)

Abstract

Prediction of energy consumption particularly in micro level is of vital importance in terms of energy planning and also implementation of any Clean Development Mechanism (CDM) activities that has become the order of the world today. It may be difficult to model household energy consumption using conventional methods such as time series forecasting due to many influencing factors. This paper presents a step wise regression model for forecasting domestic energy consumption based on micro level household survey data collected from Kerala, a state in southern part of India. The analysis of the data reveals significant influence of socio-economic, demographic, geographic, and family attributes upon total household energy requirements. While a wide variation in the pattern of energy requirements across the domestic sector belonging to different expenditure classes, per capita income level can be identified as the most important explanatory variable influencing variation in energy requirements. The models developed also demonstrates the influence of per capita land area, residential area among the higher income group while average age and literacy forms significant variables among the lower income group.

Suggested Citation

  • K.J. Sreekanth & S. Jayarah & N. Sudarsan, 2011. "A Meta Model for Domestic Energy Consumption," International Journal of Energy Economics and Policy, Econjournals, vol. 1(3), pages 69-77, November.
    • Handle: RePEc:eco:journ2:2011-03-2
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    References listed on IDEAS

    as
    1. Pachauri, Shonali & Spreng, Daniel, 2002. "Direct and indirect energy requirements of households in India," Energy Policy, Elsevier, vol. 30(6), pages 511-523, May.
    2. Ramachandra, T.V., 2009. "RIEP: Regional integrated energy plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 285-317, February.
    3. Tiwari, Piyush, 2000. "An analysis of sectoral energy intensity in India," Energy Policy, Elsevier, vol. 28(11), pages 771-778, September.
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    Cited by:

    1. Jens Ewald & Thomas Sterner & Eoin Ó Broin & Érika Mata, 2021. "Saving energy in residential buildings: the role of energy pricing," Climatic Change, Springer, vol. 167(1), pages 1-20, July.
    2. Sajjad & Zia Ur Rahman, 2021. "A micro‐level data analysis of household energy demand in Khyber Pakhtunkhwa, Pakistan: An application of linear approximate almost ideal demand system," Growth and Change, Wiley Blackwell, vol. 52(1), pages 518-538, March.
    3. Muhammad Saad Moeen & Muhammad Asjad Tariq & Saqib Shahzad & Shehryar Rashid, 2016. "Factors Influencing Choice of Energy Sources in Rural Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 905-920.

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    More about this item

    Keywords

    Meta Model; Consumption Pattern; Domestic Energy Requirement;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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