Funded by: EPSRC EP/M024652/1
Partners and stakeholders:
BEIS, National Grid, UKERC, Moixa, CREDS
METER seeks to understand:
- how household activity patterns shape electricity demand and
- how these patterns change during interventions.
Data is collected from UK households via a one-second-resolution electricity recorder and an app, which participants use to self-report their activities. We use AI, clustering and other methods to identify which activities are most responsible for high demand (specifically during peak demand) and which socio-demographic groups engage in them most commonly. With interventions we expose mechanisms by which households can or cannot be flexible in their energy service requirements.
How the project works:
- Record activities and electricity use at home
- Identify high and low use activities
- Find flexibility with interventions
We have started to roll out data collection in the U.S. and Germany.
Next: incorporate diet, well-being and thermal comfort into the collection process.
Banner photo credit: theverticalstory on Unsplash