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Energy · Eco-Tech Hackathon · POWERFEM

WattWise

Your electricity bill, finally itemized. One number in euros becomes three actions worth taking.

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The gap

A total with no explanation gives you nothing to act on.

Once a month a household gets one number for everything that happened behind the meter. Was it the old fridge? The water heater? The heatwave? Nobody knows, so people unplug phone chargers or shrug and pay.

Who hurtsStudents, renters, and families under rising energy prices; grid operators who need peak demand to fall; the climate.
The ironyMillions of European homes already have smart meters recording a consumption profile every 15 to 30 minutes. The data exists; nobody turns it into advice.
The scienceAppliance-level feedback cuts household electricity use by about 12%, roughly three times what monthly bills achieve (Armel et al., Energy Policy, 2013).

The solution

Reads the meter you already have.

WattWise disaggregates the smart-meter profile into appliance signatures and turns them into ranked, priced advice. Zero new hardware.

The one-day build

Software only. Mock profiles, real rules.

Several built-in sample households ship with realistic 7-day consumption profiles modelled on public smart-meter research data. Transparent rules do the disaggregation; no live meter, no machine learning needed for the demo.

The 3-minute pitch

  1. Hook: hold up a real bill. "One number. Which appliance did this?"
  2. Open a sample household, watch the mystery total split into named appliances.
  3. Apply the water-heater tip live: the bill drops from €78 to €64. Close with the 12% research finding.

Why it wins

Judges' scorecard.

FeasibilityArithmetic and rules over bundled profiles; the riskiest part is chart polish, not the logic.
ImpactTargets real household bills and peak demand; the 12% saving figure is peer-reviewed, not aspirational.
User-friendlinessOne screen answers "where does my money go" and "what should I do first."
SDG 7 SDG 12 SDG 13 Software only No hardware No external data

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