Prepare the records for comparison
A study can start with interval-meter exports, device logs, solar-generation records, or a defined sample dataset. We review the columns, units, timestamps, and available coverage before comparing readings. A number labeled “energy” needs a clear unit and time interval to be useful.
The preparation work can identify missing periods, repeated records, clock changes, and values that need checking with the source provider. An altered value or an excluded period should be recorded rather than quietly removed from the analysis. The client should be able to understand how the study dataset was produced.
Describe the pattern that matters
The analysis can compare weekdays and weekends, occupied and unoccupied periods, or different stages of a pilot. A product team might want to understand whether an interface needs a daily view or a view of short demand peaks. Another team might need to separate measured generation from estimated household use.
Charts should distinguish power at a moment from energy accumulated over a period. They should also make the sample period visible. A few days of records can help explore a product concept without representing a household’s annual behavior. The study states the period and the limits of the comparison.
Make the analysis reusable
Potential outputs include the prepared data, processing notes, selected charts, and a short explanation of findings relevant to the product question. Where code is part of the agreed work, it can be supplied with instructions for repeating the analysis on a comparable file.
The engagement establishes which data the client may share and how it should be handled. Household identifiers can be removed when they are not needed. This public website does not receive meter files; the data-sharing arrangement is agreed separately before project material is transferred.