From kWh to decisions: practical energy analysis that drives action
A framework for turning raw energy data into baselines, useful exceptions and actions a household can understand.
Begin with the decision
Energy dashboards often begin with whatever the meter makes available. A more useful starting point is the decision you want to make: shift a load, change a schedule, investigate an anomaly or simply leave the system alone.
That question determines the resolution, context and confidence the data needs. It also prevents a project from becoming an attractive collection of graphs with no owner.
Build a trustworthy baseline
Normalise timestamps, tariff periods and missing readings before comparing days. Separate imported energy, exported energy and local generation instead of compressing them into one number.
A baseline does not need to be sophisticated. It needs to be stable enough that a change in the chart usually means a change in the home.
Automate only the obvious part
Recommendations are a useful intermediate state. They expose assumptions and make exceptions visible before a rule is allowed to act on heating, charging or another household service.
When automation is justified, keep a manual override and record why the action happened. Explainability is part of reliability.