Begin with a question the product needs to answer
A household may want to understand whether electricity is coming from its panels, its battery, or the grid. That screen requires a consistent definition of each flow. An import reading and a generation reading may cover different time intervals; combining them without checking creates a misleading picture.
A study reviews the available measurements, their units, their timestamps, and the part of the system each source describes. It records whether a value was measured, estimated, or calculated. That distinction should remain visible in the analysis and in the product requirements.
Compare a small set of operating situations
Useful scenarios include a sunny period with low demand, a cloudy period with a rising load, and an evening when generation has ended. A storage model also needs a stated capacity, initial state, charge and discharge limits, and the operating rule being examined.
The comparison explains what changes under those assumptions. It does not predict the bills, backup duration, or annual performance of an unspecified home. If source data is synthetic, the charts say so. The model should help the team identify missing inputs and choose the next prototype or measurement.
Translate the study into product requirements
Possible outputs include prepared records, a scenario workbook, documented modeling code where agreed, and a diagram of the data required for each displayed energy flow. A prototype can then show how the interface handles incomplete readings or a battery that is temporarily unavailable.
This is an illustrative application, not a completed client installation. Equipment suitability, electrical installation, protection settings, and financial advice require their own scope and responsible specialists.