Case Study: Stora Enso improves energy forecasting with Nortal's AI-powered solution

Stora Enso improves 24-hour energy forecasting with Nortal

Stora Enso, a leading provider of renewable packaging, biomaterials, and wood construction, faced challenges in accurately forecasting its energy consumption due to market volatility and manual processes. This made optimizing costs and supporting its sustainability agenda difficult. To address this, Stora Enso partnered with vendor Nortal to co-create an AI-powered forecasting solution.

Nortal developed an Energy Demand Prediction Tool that integrates with Stora Enso's Energy Management System. The AI-powered solution uses historical process data and weather forecasts to provide near-real-time predictions for electricity and steam demand. The solution achieved excellent accuracy under normal operations, enabling Stora Enso to optimize its power plant and energy market operations, reduce costs, and support its sustainability goals.

Stora Enso