Global Walnut Magazine
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How AI Is actively shaping the energy grids of the future

AI is evolving from predictive tools, such as load and price forecasting, to real-time operational control, enabling automated dispatch, balancing, and self-healing grid capabilities.

Utilities are transitioning from energy providers to data-driven organizations, where competitive advantage comes from analytics, optimization, and faster decision-making.

AI Generated by Gemini

Measurement data at a glance – Enhanced grid monitoring with AI

The solution, developed in collaboration with E.ON, has since been turned into an integrated software product called PSIdetect. By using artificial intelligence (AI), it can detect anomalies in network operations at an early stage, enabling systematic grid monitoring for the first time. Its tasks include detecting abnormal behavior of feeders and transformers, both individually and within the overall system context.

Trading Dashboard
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Using AI to optimize your trading processes

Using AI technologies in combination with human expertise opens up new horizons for companies and enhances efficiency in short-term energy trading. Discover how PSI solutions - Qualicision Smart Day Trader and PSImarket - are helping the industry achieve this.

Detailed insights into our latest Developments - presented at E-world 2026

Based on the motto "Transforming the future of energy" we showcased our forward-looking solutions within a seamless digital ecosystem focused on smartification, digital grid operations, and AI - innovations that are redefining and sustainably advancing the future of energy supply.

Impressions from E-World 2026

PSI Software SE
PSI Software SE
PSI Software SE
PSI Software SE
PSI Software SE
PSI Software SE
PSI Software SE
PSI Software SE

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Press Release PSI and Partners develop in joint DISEGO project eIoT platform for distributed and IT-secure control of electrical distribution grids

PSI Software SE, together with six other partners in the DISEGO research project, has developed and successfully tested an Energy Internet of Things (eIoT) platform for the distributed and IT-secure control of electrical distribution grids. The project was funded by the German Federal Ministry for Economic Affairs and Energy (BMWE).