When using the savings prediction feature while creating a new rule, it's important to understand the caveats to using such a tool.
A baseline is a collection of data that represents "normal" usage of equipment. Sapient has discovered that the optimal amount of time for establishing a baseline is, in fact, not over a month, but just two weeks. Sapient uses the previous two weeks of data for each of the sockets that you have selected as a baseline for the prediction.
When you click the "Predict Savings" button, Sapient is using the previous two weeks of data to theoretically apply the rule you are currently configuring. Based on the savings you would have achieved for the previous two weeks, Sapient extrapolates those savings to convenient intervals of time such as monthly and annual savings assuming that you allow the rule to run as it is currently configured.
Things to consider:
- If you already had rules running during the previous two weeks for any of the sockets you have selected, your baseline is not correct and does not reflect an accurate savings prediction. This is because your baseline is too low due to rules already being in place. The actual savings that your rule will generate is often substantially greater than what is predicted.
- If you do not have two weeks of data for your selected sockets, the savings predictor will show an error.
- The savings calculated are not meant to serve as an absolute ground truth for ultimate savings. The predictions should be used as a reference for effectiveness, not budgeting.