Case Study: a large retail electricity provider achieves better forecasting and wholesale energy savings with Amperon

How retailers can meet the demands of the future

The large retail electricity provider faced significant challenges in forecasting energy demand due to extreme weather volatility, the proliferation of distributed energy resources like rooftop solar and EVs, and outdated conventional forecasting methods. These factors increased their risk exposure in wholesale markets and threatened their profitability and competitive pricing. To address this, they partnered with Amperon to utilize its advanced AI-powered demand forecasting platform.

Amperon implemented its analytics platform, which uses detailed meter-level data and high-resolution weather forecasts in six different AI models to generate highly accurate predictions. This solution provided the retailer with superior forecasts, which were roughly 30% more accurate than grid operator predictions. The implementation led to direct savings of $3 per megawatt-hour on wholesale energy costs and provided the advanced insights needed to manage risk and develop competitive customer programs.