Troubleshoot

In this article:

Expected energy data missing

Expected energy on the CUSUM view is based on model data. Common reasons expected energy is missing is either it is purposely excluded due to non-routine data or there’s missing production data needed for the model calculation

1: Check for an event on the CUSUM explaining the reason for the gap. If it’s a known gap, no further action is needed.

2: Check production or facility data for the most recent date. If needed, send recent production data.

Production or facility data missing

If production data is missing:

1: Use your mouse to hover over the last data value to see the last date for production data.

2: Send an updated data file or contact your SENSEI representative if your production data is automated.

When your data is up to date, you gain more value and greater ability to track and show savings.

Actual energy data missing

Actual energy data is typically from the utility or automated using meter hardware. In some cases, your site may provide interval energy data.

1: First, identify the source for energy data.

2: If energy data is from the utility or meter hardware, notify your SENSEI representative of missing data.

    • Alternatively, if energy data is from the site, hover over the last data value to see the last date populated in SENSEI. You may need to upload a more recent file.

Gap in CUSUM

Gaps in the CUSUM view are most often intentionally excluded days or missing data. If the CUSUM and Expected Energy show the same gap, then it is either excluded day(s) or missing data.

1: Check for an event on the CUSUM explaining the reason for the gap. If it’s a known gap, no further action is needed.

2: Check production or facility data for the most recent date. Go to another view such as All Data Inputs to identify the missing model data. If needed, send recent production data or contact your SENSEI representative.

CUSUM savings graph showing a gap in data


Add an event to the CUSUM graph as a reminder that this is a known, excluded day(s).

If the CUSUM and Actual Energy show the same gap, then it is typically missing energy data and may need to be marked as excluded day(s) by the SENSEI representative.


Create an event

Unexpected data spikes

Hover over the spike to view the data point value. If the spike is due to:

1: A non-routine day resulting in higher than normal data, then determine the reason for the spike and add an event to describe the reason. If needed, take action to mitigate future spikes in consumption.

2: Erroneous data, check whether the data value is exactly twice as high as normal. It is possible that the same data was doubled for that timeframe. Inadvertent doubling of data is common. For other causes or erroneous data, you will need to research further. Contact your SENSEI representative to help troubleshoot erroneous data.

CUSUM is flat

A flat or zero slope means the energy model is equal to actual consumption, resulting in no savings.

1: Review top priorities and compare consumption trends

2: Determine what action to pursue to save energy

Savings drops

Fluctuations in savings are expected. If there is more than a 7% drop in week-to-week or month-to-month savings when comparing date ranges, then research the cause. More than a 7% change is considered significant and should initiate action.

One or more days of actual energy use looks unexpectedly low

Investigate suspiciously low daily data by viewing a history or overlay graph with 15-minute resolution for each energy meter. If any 15-minute data is missing or reading zero, contact your SENSEI representative to help troubleshoot.