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Nova Scotia Power is leveraging AI-driven analytics to reshape residential demand and accelerate electrification.
In this on-demand roundtable, Lead Data Scientist Riley Cook reveals how his team uses behind-the-meter AMI data to identify EV and heat pump adoption, measure load impacts, and apply machine learning to improve grid reliability and forecasting as demand patterns evolve. You’ll gain insight into how Nova Scotia Power is detecting EVs and heat pumps at the meter using AI-based consumption analysis, modeling how Time of Use (TOU) rates influence customer behavior and load shape, using appliance-level visibility to forecast demand more accurately, and improving revenue recovery and planning through smarter classification of heating loads Validating internal models with third-party benchmarks—achieving over 80% alignment Analyzing critical peak pricing strategies to shift load and reduce system stress Preparing for deeper AI and predictive modeling to support demand response and long-term energy planning This session offers a real-world look at how utilities can turn data into action to support decarbonization goals—and become more agile, efficient, and sustainable. Watch now to explore practical applications of UtilityAI that you can bring to your organization.
