Objective/Method/Outcome
- Objective: To generate an insight when the monthly energy consumption is approaching the calculated energy target based on a specified percentage parameter of the historical consumption.
- Method: Data transformation is performed in logic flow with aggregation interval on request. Negative cumulative values are replaced with zero values. The offset series retrieves historical consumption as a baseline, which is factored to calculate the target.
- Outcome: Filtered and aggregated energy data as well as baseline and target on request. The outcome can be used to display energy data in public dashboards via Kaizen public API. Insight is generated when the energy consumption is approaching the energy target by a specified parameter in percent of the target.
Inputs
- 1-Meter Cumulative (Real Trend Log)
Logic
- Input TL goes through Delta, then a negative number filter to zeroes in order to prevent negative meter readings. Data is then aggregated and accumulated on an on-request interval.
- Data going to block [5] is used to obtain the baseline based on historical data through a 12 month offset block. Data then passes through a block [10], which acts simply as a distribution block.
- Blocks [6] and [7] then check how far above or below the baseline target the energy reading is.
- Block [9] specifies the percentage of the target the insight will trigger at.
- The last block [8], Insight Trigger, triggers an insight if the energy reading approaches the target.
Applicable Systems
- Energy
Parameters
| Parameter | Expression Block Series Number | Description | Default Value |
|---|---|---|---|
| Energy Baseline Trigger Percent | 9 | The percentage of the target at which the insight triggers. | 90 (%) |
