Case Study: EDP Renováveis achieves improved wind energy forecasting and millions in savings with MathWorks

EDP Renováveis Improves Wind Energy Forecasting with Machine Learning

EDP Renováveis, the world’s fourth-largest wind energy producer, faced growing challenges forecasting production as wind farms were built in more complex and storm‑prone locations. To improve resource assessment and reduce prediction errors, EDP Renováveis used MathWorks tools—MATLAB and the Statistics and Machine Learning Toolbox—to analyze meteorological data alongside turbine measurements.

Using MathWorks’ MATLAB-based machine learning engine (deployed offline for model training and online for real‑time forecasts), they translated wind forecasts into production P50 estimates with uncertainty ranges, estimated ice‑accretion losses, and evaluated weather impacts across regions. The MathWorks solution cut forecast errors and deviation costs, supported safer siting decisions, and saved EDP Renováveis millions of euros per year.

EDP Renováveis

Daniel Cabezón

EDP Renováveis