Case Study: Largest Power Supply Alliances in Germany achieves 24-hour grid load forecasting with MaxinAI

How Maxinai Optimized Energy Grid Distribution in Western Europe

MaxinAI worked with the Largest Power Supply Alliances in Germany, one of the country’s largest power suppliers in the northeast, to address grid congestion and power redispatching challenges. The customer needed a smarter way to balance electricity generation and demand, especially as renewable energy and weather conditions made load forecasting more complex.

MaxinAI built a benchmarking forecasting solution using Prophet, decision trees, PyTorch, and scikit-learn to predict substation load 24 hours ahead and estimate solar and wind generation potential. The project also delivered anomaly and outlier detection models, data collection proposals, and open-source big data management recommendations, helping the customer adjust conventional generation schedules and achieve a vertical grid load forecasting model with 92% MAPE.