Statistical analysis of driving factors of residential energy demand in the greater Sydney region, Australia
Authors:
- H. FanHFH. Fan
- I.F. MacGillIMI.F. MacGill
- A.B. SproulASA.B. Sproul
- 1 October 2015
- journal article
- research article
- Published by Elsevier in Energy and Buildings
- Vol. 105, 9-25
Abstract
No abstract availableKeywords
This publication has 43 references indexed in Scilit:
- Multi-model prediction and simulation of residential building energy in urban areas of Chongqing, South West ChinaEnergy and Buildings, 2014
- The impact of population ageing on energy use: Evidence from ItalyEconomic Modelling, 2013
- Residential electricity consumption in Portugal: Findings from top-down and bottom-up modelsEnergy Policy, 2011
- Occupant related household energy consumption in Canada: Estimation using a bottom-up neural-network techniqueEnergy and Buildings, 2011
- A review of bottom-up building stock models for energy consumption in the residential sectorBuilding and Environment, 2010
- Modeling of end-use energy consumption in the residential sector: A review of modeling techniquesRenewable and Sustainable Energy Reviews, 2009
- Electricity consumption forecasting in Italy using linear regression modelsEnergy, 2009
- Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sectorApplied Energy, 2008
- Combining Top-Down and Bottom-Up Approaches To Energy-Economy Modeling Using Discrete Choice MethodsThe Energy Journal, 2005
- An Energy Use Model of the Residential SectorIEEE Transactions on Systems, Man, and Cybernetics, 1980