Three Key Opportunities for Forward-Thinking Utilities
1. Enhanced Forecasting Capabilities
The foundation of effective grid management starts with accurate forecasting. By developing a behind-the-meter understanding of appliance ownership and usage patterns, utilities can create comprehensive territory-wide load profiles with unprecedented detail.
By combining these detailed load profiles with broader housing and appliance ownership trends, utilities are able to forecast peak load 5-15 years into the future with reliable accuracy. This granular approach also facilitates scenario analysis for various electrification pathways — revealing exactly how and when heat pumps, EVs and other DERs will impact the grid.
Patel confirms that Hydro One is pursuing just such a strategy: “We have been collecting a lot more customer data,” Patel explains. “However, primary monitoring and data collection points were at the feeder or station levels, but we never looked behind the meters. Now, by analyzing behind-the-meter customer behaviors, we try to sense how many electrical vehicles customers are adopting.”
2. Targeted Non-Wires Alternatives Programs
With AI-powered analytics, utilities can examine load curves across their grid assets to identify maximum, minimum, and average demand patterns. This precision reveals exactly which substations are approaching capacity constraints and which specific appliances are driving peak demand.
Armed with this intelligence, utilities can design highly effective NWA programs that:
- Target the right customers with strategic load shifting initiatives
- Identify grid assets with spare capacity for beneficial electrification
- Enable personalized customer communications that drive meaningful behavioral changes
“Now we are looking more at customer behaviors and customer engagement,” Patel notes. “Looking at the behind-the-meter behaviors helps us understand how it integrates into the load profile, how it impacts our stations, and how we can better manage our stations and load profiles at a micro level.”
Consider the practical application: By analyzing household consumption patterns, utilities can identify customers who charge electric vehicles or run pool pumps during peak hours and target them specifically for load shifting programs — creating immediate benefits for both the customer and the grid.