The energy demand of your assets depend on numerous influences like productivity, weather or disturbances.

With accurate load forecasting energy purchasing can be adjusted to actual demand and energy flow optimization can respond to peak loads at an early stage. This not only saves costs in energy procurement and electricity / gas grid utilization fees, but also reduces energy demand and CO2 emissions by operating plants in a forward-looking manner.

As the accuracy of forecasting is of great significance, with our AI algorithms we incorporate various data fed to the etaONE platform and automatically find the best machine learning model to fit your load curve including seasonal or trend characteristics. Load forecasting can be short-term (a few minutes/hours), medium-term (a few weeks up to a year) or long-term (over a year).