Utility Reduces Peak Demand 12% with AI Demand Forecasting
Building a Fabric-based forecasting platform that predicts demand at substation level, enabling smarter dispatch and demand-side management.
Project Overview
The Challenge
Demand forecasting relied on legacy statistical methods that struggled with the volatility introduced by distributed renewables and changing consumption patterns.
- 1Demand forecast errors leading to over-procurement of generation
- 2Limited ability to forecast at substation or feeder level
- 3Manual demand-side management with no real-time analytics
Our Solution
CloudGate built a granular forecasting platform on Microsoft Fabric, generating predictions at feeder level using weather, calendar, and consumption signals.
- Hierarchical forecasting from system down to feeder level
- Integration of weather forecasts and demographic data
- Demand-side management trigger automation
The Results
- Deferred generation capacity investment of $80M+ through demand-side gains
Technologies Used
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