Gomero emphasizes that effective change for grid operators comes from incremental, manageable steps rather than sweeping transformations. By enhancing data visibility and fostering collaboration, organizations can gradually shift from reactive to proactive approaches, ultimately boosting confidence and operational efficiency in daily tasks.
How a German utility reduced construction costs at a 110 kV substation using automated drainage with SIPP Node.
Gomero celebrates 20 years of innovation in transformer maintenance, evolving from manual checks in 2006 to fully automated systems used globally. This transformation highlights the energy industry's shift towards predictive maintenance and real-time data utilization for optimal grid performance.
Five questions to help grid operators build a condition monitoring programme — from prioritising assets by risk to scaling across your network at your own pace.
Three continents, one clear pattern: technology that succeeds adapts to what operators actually need. Nordic operators seek operational control, Germans prioritize risk reduction, Australians focus on remote operations. Same platform, entirely different value propositions. The future isn't standardization or customization—it's both simultaneously.
Niklas Wicén, CPO at Gomero, shares his reflections from Energiforsk's course on asset management and data collection for electricity grid companies.
Germany's decentralized regulatory environment creates unique demands where flexible precision becomes competitive advantage. German operators emphasize risk reduction—shifting from manual processes to autonomous monitoring reduces both personnel and operational risk. Environmentally-friendly transformer fluids MIDEL 7131 and Cargill FR3 are growing globally with the same validation requirements.
Nordic operators often begin with SF6 monitoring for compliance, but quickly discover the strategic value of operational control. The journey from scheduled to condition-based maintenance transforms contractor relationships and gives operators visibility over their assets. Nordic climate drives hardware robustness while values around data sovereignty and flexibility shape the platform's ecosystem.
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.
Australia's vast distances fundamentally change predictive maintenance value. Extreme conditions drive innovations benefiting all markets: from wildlife-adapted filtration to cooling system monitoring and robust telecommunications. Distance is no longer a barrier—it's the driver behind remote-first operational models.
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.
