In this on-demand webinar, Amperon’s VP of Customer, Elliott Chorn, and meteorologist Arianna Goldstein unveil the Grid Demand Mid-Term Forecast (MTF) the first AI and ECMWF-powered weather-driven demand forecast that extends up to seven months ahead.
They explain how Amperon bridges the gap between short-term and seasonal planning with:
- Machine-learning-based interpolation that converts ECMWF’s 6-hour data into hourly precision, improving accuracy by up to 300% over linear models.
- 51 ensemble forecasts that produce a full range of load outcomes, empowering users to identify risk, opportunity, and convergence signals weeks before they appear on the grid.
- Actionable insight into extreme weather and peak demand events proven to capture record PJM and ERCOT load peaks 30+ days in advance.
The result: an unprecedented view of seasonal grid risk and opportunity, enabling energy professionals to hedge smarter, plan generation more effectively, and build confidence in long-range operational decisions.
Key Takeaways
- Learn how Amperon’s ECMWF-based MTF redefines mid-term forecasting accuracy.
- Understand how probabilistic ensembles improve long-term hedging and scenario analysis.
- See validation case studies from PJM and ERCOT showing 30-day early signals of major peaks.
- Hear what’s next in load-growth modeling and data-center forecasting in future releases.
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