What this analyzer answers
The question here is timing: when did the observed electrical peak occur, how large was it, and what was operating at that moment? That is different from generating a hypothetical schedule because this tool works from time-stamped observations supplied by the user.
Method
Each reading contains a timestamp, an observed demand value, a unit label and a list of loads active at that time. The analyzer finds the highest demand value and returns all readings tied for that maximum. Ties are retained instead of silently choosing one arbitrary time.
Why the active-load field matters
A peak value alone tells you when the system was busiest, but a contributor list makes the event more actionable. It can help operations teams investigate which equipment combinations coincide with the peak and whether the timing matches expectations.
Worked example
If readings at 09:00, 10:00, 11:00 and 12:00 are 42, 48, 61 and 57 units, the peak occurs at 11:00 at 61 units. If HVAC, pumps and process equipment are recorded as active at 11:00, those loads become the starting point for an operational review.
Peak duration and repeated peaks
Several adjacent readings can have the same maximum value. The tool reports all exact ties, allowing you to see whether the peak is isolated or repeated across multiple observations. It does not interpolate between readings.
Common data errors
Keep timestamps consistent. Do not mix instantaneous readings with interval-average demand without understanding the measurement method. Make sure all demand values use the same basis and unit.
Safety and limitations
This tool analyzes supplied data; it does not verify the accuracy of meters or sensors. It does not calculate conductor ratings, protection settings, power-quality conditions or code compliance. Final engineering decisions require appropriate site data and professional review.
Frequently asked questions
Can several peak times be returned?
Yes. Every reading equal to the highest entered demand is returned.
Does the tool calculate the actual equipment contribution mathematically?
No. It uses the active-load names you provide. It does not reconstruct individual contributions from the total unless you explicitly supply them.
Can I enter kW or amps?
Yes, but use one consistent basis throughout the dataset.