Case Study: Ogre.AI achieves millions in energy cost savings and improved power forecasts with Meteomatics API

Ogre.AI Realizes Significant Costs Savings in the Energy Industry by Integrating Meteomatics API into Its Power Forecasts

Ogre.AI, a fast-growing energy analytics firm, faced significant challenges from inaccurate weather forecasts in Romania that drove costly imbalances across the grid—some wind-farm clients estimated losses of more than €10m per year and one considered closure. To address this, Ogre.AI selected Meteomatics and its RESTful API as the weather data provider to feed its ML and AI power-forecasting models, gaining high-granularity forecasts updated every 5–15 minutes to match electricity market notification cycles.

By integrating Meteomatics’ API and its multiple numerical weather prediction models, Ogre.AI rapidly improved forecast accuracy and reduced balancing penalties for producers, suppliers and TSOs/DSOs. The Meteomatics-powered solution delivered measurable financial impact—sometimes saving clients millions of euros annually, with reported savings up to 50% for certain forecast types and some TSOs/DSOs realizing up to €100m per year—while offering easy integration via Meteomatics’ data connectors and extensive global data access.

Ogre.AI

Matei Stratan

Chief Executive Officer