Solution Energy
AI Demand Forecasting for Electricity Utilities
A hierarchical demand forecasting platform on Microsoft Fabric that predicts load down to feeder level for generation dispatch and demand-side management at electricity utilities.
-12%Peak demand
+8%Forecast accuracy
DeferredGeneration capacity investment
Typical outcomes for this kind of engagement. Results depend on your data and starting point.
THE CHALLENGE
Legacy statistical forecasting struggles with the volatility of distributed solar, changing consumption and weather sensitivity.
- Forecast errors driving over-procurement of generation
- No forecasting below system level for targeted demand-side action
- Legacy methods unable to absorb distributed solar and weather effects
OUR APPROACH
CloudGate builds a hierarchical forecasting platform on Microsoft Fabric and Azure Machine Learning that predicts demand from system level down to substations and feeders.
- Hierarchical forecasting from system down to substation and feeder level
- Weather, calendar, demographic and distributed generation signals
- Automated demand-side management triggers for constrained feeders
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