Projects / 01
Home-energy optimisation
Turning tariffs, generation and household demand into practical decisions rather than another dashboard to watch.
A decision-led approach to monitoring and automation that prioritises comfort, cost and understandable controls.
The challenge
Energy data is plentiful but rarely arrives in one useful shape. Tariff windows, solar generation, battery state and household demand all move on different rhythms.
The approach
- Normalise readings into a consistent time series before attempting optimisation.
- Separate recommendations from automatic actions so every rule has a clear owner and safe fallback.
- Design summaries around decisions—shift, wait or leave alone—instead of raw telemetry.
The result
A calmer operating model for household energy: explainable automations, visible exceptions and less time spent interpreting graphs.
What stayed useful
- Good automation needs an obvious manual override.
- A smaller set of trusted signals beats a wall of live metrics.
- Optimise for the household, not for a technically perfect chart.