Whether you produce, generate or distribute energy, performance can be improved using machine learning. By combining e.g. control system data with external data sources such as power exchanges and weather data it can further improve profitability, e.g. produce more power when prices are optimal and vice versa. It is also possible to improve energy distribution in district heating networks through improved distribution models.
Production can also be planned longer in advance if connected to better weather models.