Gomero, in collaboration with Trafag and Regal, delivers condition-based maintenance for grid operators – combining reliable sensors, local expertise, and AI-driven analysis to detect deviations early and support better decision-making.
When large parts of Southern Europe were hit by power outages earlier this year, it became clear how vulnerable even a modern energy system can be. The climate is becoming increasingly unpredictable, and electricity demand is rising. Meeting this challenge requires both increased capacity and a smarter approach to managing the power grid.
Gomero's sandbox environment at IBM Maximo enables energy companies to test predictive maintenance from sensor to work order – risk-free.
A recent Energiforsk study shows that Reliability-Centered Maintenance (RCM) can reduce annual maintenance costs in the European energy sector by up to 24%. Successful implementation requires optimal data integration, organizational readiness, and a strategic vision beyond mere cost savings.
Learn why energy sector digitalization projects fail to utilize data effectively and how advanced analytics transforms collected data into actionable insights.
As solar activity reaches its peak in 2025, the risk of geomagnetic storms that could knock out parts of our electricity grid increases. Combined with extreme weather, energy infrastructure faces new challenges. However, by digitalising transformer stations and investing in predictive maintenance, we can make electricity grids more resilient than ever before.
As the energy transition accelerates, resource-efficient maintenance becomes increasingly important. Modern electricity networks with increasing proportions of renewable energy and distributed production place new demands on flexibility and reliability. By implementing digital infrastructure for predictive maintenance, conditions are created to handle future challenges.
With the help of more connected assets in Ellevio's substations, Gomero is contributing to one of Sweden's largest energy companies being able to work with more digitised maintenance inspections and workflows.
Predictive maintenance represents an important change in the energy sector. By replacing reactive and schedule-based strategies with data-driven, proactive monitoring, energy companies can increase operational reliability, reduce costs, and extend the lifespan of critical infrastructure.
Sulfur hexafluoride (SF6) has long played a crucial role in power grids. The gas's exceptional insulating properties make it indispensable for transformer stations and other high-voltage systems. However, SF6 is also one of the most potent greenhouse gases, making its management a key environmental issue.
