How can households optimize energy usage effortlessly?
Energy flows to houses from multiple sources:
Solar panels
Vertical wind turbines
The grid
And flows out based on real-time household demand. All the data on energy generation and consumption can be gathered using a battery pack which sends data to software through IoT.
~80%
can be saved on energy with installations of solar panels
3-5%
reduction annually on solar panel power output without proper cleaning
20-25%
of household electricity consumption is wasted due to inefficient usage
INTERPRETING ENERGY DATA
Making information readable
Raw energy data is dense, continuous, and unfamiliar to most users.
The challenge is interpretability:
Multiple sources update simultaneously
Consumption shifts throughout the day
Predictions sit alongside real-time values
The interface establishes:
What matters now
What can wait
What requires attention
DESIGN DIRECTION
Clarity-first visualisation
Design work centres on data visualisation and flow.
Key decisions include:
Separating generation, consumption, and prediction clearly
Using comparisons instead of isolated numbers
Framing AI forecasts as guidance, not instructions
The app also surfaces:
Appliance-level consumption breakdowns
Predictive maintenance indicators for solar panels
Navigation remains intentionally simple, ensuring users understand energy behaviour without needing technical knowledge.
