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Energy Planning in the Big Data Era: A Theme Study of the Residential Sector

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  • Estiri, Hossein

Abstract

This paper re-conceptualizes the planning process in the big data era based on the improvements that non-linear modeling approaches provide over the mainstream linear approaches. First, it demonstrates challenges of conventional linear methodologies in modeling complexities of residential energy use, addressing the “variety” from the three Vs of big data. Suggesting a non-linear modeling schema to analyze household energy use, the paper develops its discussion around the repercussions of the use of non-linear modeling in energy policy and planning. Planners / policy-makers are not often equipped with the tools needed to translate complex scientific outcomes into policies. To fill this gap, this work proposes modifications in the traditional planning process in order to be able to benefit from the abundance of data and the advances in analytical methodologies. The conclusion section introduces three short-term repercussions of this work for energy policy (and planning, in general) in the big data era: tool development, data infrastructures, and planning education.

Suggested Citation

  • Estiri, Hossein, 2014. "Energy Planning in the Big Data Era: A Theme Study of the Residential Sector," EconStor Conference Papers 106936, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esconf:106936
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    File URL: https://www.econstor.eu/bitstream/10419/106936/1/Planning%20in%20the%20Big%20Data%20Era%20-Proceeding%20.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Energy Policy; Residential Buildings; Non-Linear Modeling; Big Data; Planning Process;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

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