Slovenia is opening its electricity network to a new generation of commercial services based on satellite data, artificial intelligence and digital twins, potentially shifting part of future grid investment away from physical equipment and towards continuously delivered data and analytics.
The European Space Agency on September 29 launched a call developed with Slovenian transmission system operator ELES for operational services using Earth observation, satellite communications and navigation technologies.
Applications will remain open until November 27, with projects eligible for zero-equity ESA co-funding covering between 50% and 80% of eligible costs, depending on the applicant’s status and national approval. Slovenia has already pre-authorised funding for eligible domestic applicants.
The programme is not primarily focused on research and development.
ESA is specifically seeking market-ready solutions supported by sustainable commercial business models and operational customers.
That makes the initiative potentially more significant for the electricity sector than another conventional grid digitalisation pilot.
The targeted use cases include renewable generation and demand forecasting, congestion analysis, dynamic thermal ratings, infrastructure monitoring, predictive maintenance, vegetation management and the integration of external data into grid digital twins.
The common feature is that many of these services can be delivered without constructing another substation or transmission line.
Satellite-derived weather data, for example, can improve forecasts of solar irradiation, wind conditions and ambient temperatures.
Those inputs can then improve renewable-generation forecasts and load-flow calculations.
They can also support dynamic thermal rating, under which the actual capacity of an overhead line changes according to temperature, wind and other real-time conditions rather than being limited by a conservative static rating.
This can effectively unlock additional transmission capacity from existing infrastructure.
Satellite imagery can also help identify vegetation encroachment, landslides, wildfire exposure and other physical risks along long transmission corridors.
The commercial model differs from traditional utility procurement.
Instead of purchasing a sensor or engineering solution as a one-off investment, grid operators could subscribe to continuously updated datasets and analytics.
A technology company could therefore sell grid intelligence as a service, combining satellite information, terrestrial sensors and artificial intelligence into an operational platform used by control-room engineers.
ELES provides an attractive testing environment because Slovenia has a highly interconnected electricity system, significant renewable-development ambitions and network constraints increasingly influenced by weather-dependent generation and regional power flows.
Success could also create export opportunities.
Transmission and distribution networks across Southeast Europe face many of the same challenges, including ageing infrastructure, renewable integration, vegetation risks, extreme weather and growing pressure to extract more capacity from existing lines before expensive network reinforcement is completed.
A platform developed in Slovenia could therefore potentially be commercialised across other regional electricity markets.
This creates opportunities for companies outside the traditional electricity-equipment supply chain.
Satellite-data companies, AI developers, weather-analysis specialists, drone operators, digital-twin providers and grid-software companies could increasingly compete alongside conventional engineering firms.
The result could be a gradual shift in where utilities allocate investment.
Traditional network CAPEX will remain essential, but some gains in capacity, reliability and resilience may increasingly come from better information.
If a utility can safely increase usable line capacity by improving its understanding of real-time weather conditions, or identify vegetation risks before they cause an outage, software and data can help postpone or reduce physical investment.
The economics become particularly attractive where permitting and construction of new transmission infrastructure can take years.
There is also a growing connection between grid intelligence, insurance and infrastructure resilience.
Better information on wildfire, flood, landslide and weather exposure can improve maintenance planning and potentially allow utilities and insurers to quantify infrastructure risks more accurately.
Digital twins can then combine those datasets with actual grid topology, asset condition and operational data.
Slovenia’s programme therefore points towards a different type of electricity-market infrastructure company.
The future grid contractor may not necessarily manufacture transformers or construct transmission towers.
Instead, it could sell continuously updated intelligence that allows existing infrastructure to carry more electricity, operate more reliably and receive earlier maintenance interventions.
That is what makes the ELES-ESA programme commercially significant: it is testing whether grid data itself can become a scalable energy-sector product.
