This workflow automatically collects weather and system data, generates optimized energy production forecasts, and adjusts operational parameters to maximize renewable energy output and efficiency.
Daily weather forecast data becomes available at 6 AM
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Detailed explanation of each automated stage in the workflow.
Weather forecast and real-time meteorological data triggers the forecasting workflow. System automatically pulls solar irradiance, wind speed, temperature, and cloud coverage predictions.
Gather current operational metrics from solar panels, inverters, and energy storage systems. Historical performance data is retrieved to establish baseline efficiency patterns.
System determines if current operational parameters can be adjusted to improve forecasted output. Decision branches based on whether optimization potential exceeds 5% efficiency gain.
Automatically adjust panel tracking angles, inverter settings, and energy storage charging schedules. Grid integration parameters are optimized for peak demand periods.
Coordinate with utility grid systems to optimize energy delivery timing. Peak production forecasts are aligned with grid demand and pricing structures.
Generate and distribute production forecasts, optimization recommendations, and grid integration schedules to operations teams. Automated alerts are sent for significant forecast changes.
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