Abstract
Electricity consumption of cities has been a major concern for governments, policy makers, and utilities companies. As urbanization becomes a global phenomenon, the modeling of electricity consumption is critical for assessing the sustainability of societies in developed and developing nations. This paper describes a statistical approach for modeling electricity consumption based on demographic characteristics including household income, family size, apartment size, and more importantly the number of electricity demanding appliances in an urban setting. Implications on energy planning, energy saving practices and greenhouse gases emissions are also presented.
| Original language | English |
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| Title of host publication | 2011 IEEE PES Innovative Smart Grid Technologies, ISGT Asia 2011 Conference |
| Subtitle of host publication | Smarter Grid for Sustainable and Affordable Energy Future |
| DOIs | |
| Publication status | Published - 2011 |
| Event | IEEE Power and Energy Society'sInnovative Smart Grid Technologies Asia 2011 Conference,ISGT Asia 2011 - Perth, WA, Australia Duration: 13 Nov 2011 → 16 Nov 2011 |
Publication series
| Name | 2011 IEEE PES Innovative Smart Grid Technologies, ISGT Asia 2011 Conference: Smarter Grid for Sustainable and Affordable Energy Future |
|---|
Conference
| Conference | IEEE Power and Energy Society'sInnovative Smart Grid Technologies Asia 2011 Conference,ISGT Asia 2011 |
|---|---|
| Country/Territory | Australia |
| City | Perth, WA |
| Period | 13/11/11 → 16/11/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- Energy Efficiency
- Greenhouse Gases Emissions
- Residential Electricity Consumption
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