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Measuring and Evaluating Time-use and Electricity-use Relationships (METER)

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October 2015 to October 2020

PI: Phil Grunewald

Funded by: EPSRC EP/M024652/1

Partners and stakeholders:

BEIS, National Grid, UKERC, Moixa, CREDS

Contact

METER seeks to understand:

  1. how household activity patterns shape electricity demand and
  2. 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.

Summary

How the project works:

  1. Record activities and electricity use at home
  2. Identify high and low use activities
  3. 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.

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