Energy Consumption Analytics Process

Start des Workflows/Prozesses.

Retrieve all raw energy consumption entries from the Smart Meter Data Model for the specified period.

Get the current pricing and tax rates from the Energy Tariffs Data Model.

Sum the kWh values from the retrieved meter readings to find the total energy used.

Multiply the total kWh by the retrieved tariff rate to determine the monetary cost.

Identify the maximum (MAX) energy consumption value recorded in a single interval from the dataset.

Calculate the average (AVG) daily energy usage to establish a baseline.

Generate a new entry in the 'Energy Analytics Report' data model containing the calculated totals, peaks, and costs.

Compare current usage against historical averages to detect a percentage increase above a specific threshold.

Create a task for the Energy Analyst to verify the accuracy of the generated analytics summary.

If an anomaly is detected, create a task for the Facilities Manager to inspect the energy hardware.

Compile the aggregated data and summary entries into a formal PDF/Dashboard report.

Send an automated email to the Operations Manager with the key findings from the analytics summary.

Update the 'Historical Baseline' data model with the newly calculated average usage for future comparisons.

Send an urgent SMS notification to the site supervisor if energy consumption exceeds a critical safety threshold.

Ende des Arbeitsablaufs/Prozesses.