ENERGY DEMAND FORECASTING PROCESS

Created by ChecklistGuro (https://checklistguro.com)

[ ] Fetch Historical Consumption Data: Retrieve historical energy usage records from the Consumption Data Model for the specified period.
[ ] Fetch Weather Forecast Data: Retrieve temperature, humidity, and cloud cover predictions from the Weather Data Model.
[ ] Fetch Economic Indicators: Retrieve industrial activity indexes and GDP growth projections from the Economic Data Model.
[ ] Calculate Weather Impact Factor: Apply a coefficient to historical data based on temperature deviations in the forecast.
[ ] Calculate Projected Demand: Execute the core forecasting formula combining historical trends, weather factors, and economic weights.
[ ] Aggregate Total Predicted Load: Sum all individual regional predictions to calculate the total national/grid-wide demand.
[ ] Create Forecast Result Entry: Create a new record in the Forecast Results Data Model containing the calculated demand and metadata.
[ ] Assign Data Validation Task: Create a task for a Data Analyst to review the forecast for anomalies or outliers.
[ ] Update Forecast Status: Update the status of the Forecast Result entry from 'Pending' to 'Validated'.
[ ] Generate Weekly Demand Report: Generate a visual report comparing predicted demand vs. actual demand for the previous week.
[ ] Notify Grid Operators: Send an email to the Operations Team with the finalized demand forecast and any critical alerts.
[ ] Send Critical Load Alert: Send an SMS to the Emergency Response Lead if the predicted load exceeds the grid capacity threshold.
[ ] Create Resource Allocation Task: Create a task for the Supply Management team to adjust power generation schedules based on the new forecast.
[ ] Update Supply Schedule: Update the Power Plant Schedule Data Model to align production with the new demand forecast.

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