The useful answerSmart meter interval data shows electricity over short periods, not a verified appliance inventory. Check the units, interval duration, timestamps and missing values before drawing conclusions. A spike can suggest when to investigate without proving which device caused it.

Download only the period you need

PG&E provides an example of customer tools offering 15-minute electricity data and downloadable usage records. Availability and format differ by utility and account. Use your provider’s own export instructions and keep the original file unchanged as a reference.

Choose a period tied to a question, such as a week with an unusual overnight pattern. You do not need to share the file publicly to perform a basic local comparison.

Distinguish energy from average power

If an interval contains 0.25 kWh over 15 minutes, average power during that interval is 0.25 ÷ 0.25 = 1 kW. It is not 0.25 kW. Conversely, a column already labeled average kW should not be added as though it contained kWh.

For a hypothetical day containing 96 complete quarter-hour rows totaling 8 kWh, daily energy is 8 kWh. Check timestamp conventions and daylight-saving transitions before assuming every calendar day must contain exactly 96 rows.

Work through four rows before analyzing a month

Invented 15-minute energy intervals; timestamps mark interval starts
Interval startEnergy in intervalAverage power
00:000.10 kWh400 W
00:150.20 kWh800 W
00:300.05 kWh200 W
00:450.15 kWh600 W
Complete hour0.50 kWh500 W across the hour

Each watt figure is interval kWh ÷ 0.25 hours × 1,000. Add the energy rows to get 0.50 kWh, costing $0.09 at a flat $0.18/kWh. The largest interval average is 800 W; that does not reveal the highest momentary draw or identify a particular appliance.

If the last row is missing, the observed total is 0.35 kWh over 45 minutes, not a verified full hour using 0.35 kWh. Mark the gap. Do not silently fill it with zero, copy the previous reading or label an extrapolation as measured energy. Duplicate intervals can inflate totals just as missing intervals can reduce them.

Mark patterns before naming appliances

Note repeated overnight consumption, cooking-time peaks and differences between occupied and away days. Compare those times with your own activity notes. Several appliances can run in the same interval, and a short high-power event may be averaged with quieter minutes.

A utility chart does not by itself prove a faulty refrigerator or unauthorized electricity use. Treat unexplained patterns as questions for further observation, not diagnoses.

Reconcile before calculating cost

Check that interval totals reasonably match the billed period, allowing for stated corrections, missing data and boundary times. Identify whether the file describes imports, exports or another quantity if solar or storage is present. For a time-of-use estimate, apply the correct rate to each applicable period; one average rate loses that detail. Save your assumptions beside the analysis so another month can be compared consistently.

Check the file before drawing a conclusion

Confirm whether a timestamp denotes the start or end of its interval, and which time zone the provider uses. Preserve estimate or correction flags. A cumulative meter register must be differenced; interval kWh can be summed. Keep imports and exports in their separate columns until you understand the billing treatment.

Use the worksheet to document these choices before applying time-of-use prices. It is a checking aid, not a parser for every utility export. The original file should stay available so you can trace an unexpected total.

Smart meter data checking worksheet

A free CSV to use in a spreadsheet app. Fill in your own copy; it contains no automatic formulas and does not upload your bills or readings.

Download smart meter data checking worksheet (CSV)

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Sources & further reading

Numerical examples are illustrative unless explicitly described as measured. This guide does not claim hands-on product testing. Read the methodology and editorial disclosure.