In an increasingly complex energy world, data forms the indispensable basis for every decision we make. It is only possible to fulfil the high demands placed on a secure and efficient transmission system if we rec-ord data precisely, link it intelligently and use it in a targeted manner.
Whether it’s for modernising our infrastructure or controlling complex energy flows, data gives us the securi-ty to set the right course for tomorrow today. The Optimizer Autopilot control energy is a specific example of this data-driven approach. The system uses machine learning models to create precise forecasts of the control energy required. This provides automated support for operational decisions, which increases grid stability and makes our processes more efficient.
Applied artificial intelligence and data not only allow processes to be improved today, but also create the necessary conditions for the innovations of tomorrow, thereby establishing structures that connect all the different fields of innovation – from control rooms of the future to digital asset monitoring and the transformation of the energy system.
