Energy Planning in the Big Data Era: A Theme Study of the Residential Sector
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References listed on IDEAS
- Lutzenhiser, Loren, 1992. "A cultural model of household energy consumption," Energy, Elsevier, vol. 17(1), pages 47-60.
- Kelly, S., 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Cambridge Working Papers in Economics 1139, Faculty of Economics, University of Cambridge.
- Jihoon Min & Zeke Hausfather & Qi Feng Lin, 2010. "A High‐Resolution Statistical Model of Residential Energy End Use Characteristics for the United States," Journal of Industrial Ecology, Yale University, vol. 14(5), pages 791-807, October.
- Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
- Eric Hirst, 1980. "Review of Data Related to Energy Use in Residential and Commercial Buildings," Management Science, INFORMS, vol. 26(9), pages 857-870, September.
- Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
- Aune, Margrethe, 2007. "Energy comes home," Energy Policy, Elsevier, vol. 35(11), pages 5457-5465, November.
- Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
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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
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2015-02-22 (Energy Economics)
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