Report
Air-conditioner use prediction from interval meter data
Asia-Pacific Solar Research Conference presentation and related reporting
Preliminary methodological overview and results describing an approach to predicting residential air-conditioner use from coarse 30 minute smart metering data.
Reporting on the prediction of residential air-conditioner use at half-hour intervals from whole of house interval (smart) electricity meter data. The prediction approach is informed by local (outdoor) comfort condition estimates and observations about how household energy consumption is deviating from typical (mild day) behaviour. The approach is validated against real household air conditioning and energy consumption data.
A summary report and conference presentation is provided.
- ReportFeb 2019
Residential energy usage, load factors and peak demand on mild vs. hottest days
Commonwealth Scientific and Industrial Research Organisation
An analysis of residential Victorian building, demographic and appliance use characteristics that correlate with energy demand during hot and mild days.
