Predicting residential electricity consumption using aerial and street view images

This publication has 47 references indexed in Scilit:

• Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes
  Applied Energy, 2016
• Explaining domestic energy consumption – The comparative contribution of building factors, socio-demographics, behaviours and attitudes
  Applied Energy, 2015
• Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts
  Applied Energy, 2015
• Building age as an indicator for energy consumption
  Energy and Buildings, 2015
• A multilevel regression approach to understand effects of environment indicators and household features on residential energy consumption
  Energy, 2014
• A review on the basics of building energy estimation
  Renewable and Sustainable Energy Reviews, 2014
• The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock
  Energy and Buildings, 2009
• Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
  Energy and Buildings, 2008
• Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction
  Remote Sensing of Environment, 2006
• EnergyPlus: creating a new-generation building energy simulation program
  Energy and Buildings, 2001