We are proud to announce that Eneryield will be exhibiting at Enlit Europe 2025, taking place at the Bilbao Exhibition Centre in Spain, 18 - 20 November.
You will find us in booth 1.H32.
Enlit Europe is one of the most important annual meeting points for the global energy community, bringing together utilities, technology providers, grid operators, and policymakers focused on digitalization, electrification, and the transition towards a more sustainable energy system.
At Enlit, we will demonstrate how our AI Fault Prediction and Analytics platform, Eneryield IntelliView®, enables utilities to predict power outages with 95 - 97% precision.
By detecting anomalies in voltage and current signals, the AI identifies early signs of degradation and developing faults, such as incipient cable failures, transformer winding degradation, short circuits, and earth faults, long before they cause outages.
With Explainable AI, Eneryield IntelliView® provides transparent reasoning behind each insight, helping operators understand when, where, and why a fault will occur.
Our technology has proven to deliver substantial improvements for utilities and grid operators:
These outcomes support utilities in shifting from reactive maintenance towards predictive and proactive grid management.
Enlit Europe is one of the leading energy events in the world, uniting technology providers, utilities, and regulators to inspire action towards a sustainable and digitalised energy system.
Participating at Enlit highlights Eneryield’s role in enabling the global energy transition through Explainable AI and advanced predictive analytics.
Meet our team and learn how Eneryield IntelliView® can help your utility prevent outages, reduce downtime, and strengthen grid reliability.
To book a meeting in advance, reach out to Johan Rådemar, COO & Co-Founder.
Bilbao Exhibition Centre, Spain 18 - 20 November 2025, Booth 1.H32
Explore Eneryield Intelliview™ and see the future of energy management today.
Explainable AI Fault Prediction & Analytics
in Electric Power Systems