AI is already being used in the energy industry today:
Algorithms make purchasing or selling decisions in energy trading.
AI is also involved in the generation of power: The cognitive system optimizes the use of photovoltaic and wind power systems, charging stations and electrolyzers. This prevents downtime and increases the systems’ lifespan.
In the grid area, cognitive technology helps to evaluate the multitude of information and to detect and manage critical situations.
The next step is for machines to autonomously determine the state of their assets and to learn to achieve pre-specified goals for the energy industry.
In this context, the experts of the K-ES and the Fraunhofer IEE are engaged in advancing the disciplines of intelligent autonomous systems, self-supervised learning, and deep learning for energy company’s needs.
In the future, thanks to digital innovation management, every task in the areas of economics, grids and technology will be accomplished in a cognitive manner.