Slovenia is emerging as a key testing ground in Southeast Europe for how smart meters, dynamic network tariffs and automated electric-vehicle charging can transform ordinary electricity consumers into flexible power-market assets.
Recent Slovenian pilots have demonstrated that EV charging can be shifted towards cheaper periods without disrupting fleet operations. However, the country’s regulator has also highlighted a key challenge: if thousands of consumers respond to the same price signal simultaneously, flexibility can create new electricity-demand peaks.
This is driving a shift beyond conventional time-of-use tariffs towards a model in which consumption responds to electricity prices, network conditions and operational requirements.
The commercial opportunity extends beyond electricity supply. Suppliers, aggregators and energy-management companies can increasingly generate value by optimising when vehicles charge, buildings consume electricity and industrial equipment operates.
Slovenia’s widespread smart-meter deployment provides an important foundation, enabling detailed consumption monitoring, demand forecasting and verification of flexibility services. Smart meters are therefore becoming more than billing devices: they are essential infrastructure for emerging flexibility markets.
EV fleets provide an early test
Electric vehicles offer a practical example of how flexibility can work. Slovenian pilots involving Avantcar and Kolektor sETup have explored how fleet charging can be optimised according to electricity-market conditions while maintaining vehicle availability.
A vehicle connected to a charger for eight hours may require only two or three hours of charging. This creates a window during which electricity consumption can be shifted without affecting the vehicle’s readiness.
Across hundreds or thousands of vehicles, these individual charging windows can form a substantial flexible electricity portfolio.
Fleet operators can benefit from lower electricity procurement costs, while aggregators could potentially offer the same flexibility to balancing markets or distribution-network operators, subject to applicable market rules.
EV fleets can therefore evolve from passive electricity consumers into commercially valuable grid resources.
Cheap electricity can create another peak
Slovenia’s flexibility assessments also highlight the limitations of simple price-based optimisation.
When electricity or network tariffs become cheaper at a particular hour, automated chargers may respond simultaneously, creating a new demand peak instead of reducing pressure on the system. The same risk applies to heat pumps, electric boilers and other automated loads.
The challenge is no longer simply encouraging customers to shift consumption away from peak hours. It is ensuring that too many flexible devices do not respond in the same way at the same time.
Addressing this requires more sophisticated pricing signals and automated coordination that account for both market conditions and network capacity.
Dynamic network tariffs add location to the equation
Dynamic network pricing could help address this challenge by signalling not only when electricity is expensive, but also when particular parts of the distribution grid are under pressure.
This distinction becomes increasingly important as solar generation, EV charging and electric heating expand across distribution networks.
Additional electricity consumption may be beneficial in an area with abundant solar generation and available network capacity, but problematic where local infrastructure is already congested.
Future optimisation must therefore consider more than when electricity is cheapest. It must also determine where the grid can accommodate additional consumption.
This introduces a new dimension to electricity-market optimisation, linking customer behaviour with local network conditions.
Smart-meter data becomes commercially valuable
Slovenia’s advanced metering infrastructure provides the data needed to identify and manage flexible consumption.
For industrial consumers, analytics can identify opportunities to adjust pumps, compressors, cooling systems and production processes. Commercial buildings can optimise heating, cooling and ventilation, while EV platforms can calculate charging requirements based on vehicle availability and departure times.
Software can combine these individual consumption profiles into portfolios large enough to participate in electricity markets.
This creates commercial opportunities in meter-data analytics, demand response, consumption forecasting and flexibility verification.
The value lies not only in collecting meter readings, but also in converting them into reliable, controllable resources that electricity-market participants can use.
From tariff response to automated flexibility
The next stage involves integrating multiple variables into automated energy management.
An EV fleet platform could assess wholesale electricity prices, network tariffs, local grid conditions, potential balancing-market revenues and the charging requirements of individual vehicles. Industrial systems could apply similar optimisation to production equipment.
Customers would define operational requirements, while software would determine when consumption should occur within those limits.
This would transform flexibility from a response to cheaper electricity into an automated energy-management service.
Aggregators could coordinate thousands of small assets, forecast their availability and offer combined flexibility to suppliers, transmission system operators and distribution companies, where permitted by market rules.
Slovenia points towards the next SEE electricity business
The Slovenian experience has implications for the wider Southeast European electricity market. Investments in smart meters, EV charging, electric heating and distributed generation are increasing the number of flexible assets connected to distribution networks.
The next commercial challenge is to turn this infrastructure into functioning markets.
Slovenia illustrates how smart-meter data, dynamic tariffs and automated consumption management can work together to create new revenue opportunities. EVs provide an early application, but the same approach could extend to industrial processes, commercial buildings, heat pumps and electric boilers.
This model does not necessarily require additional generation capacity. Instead, it creates value by improving how existing electricity infrastructure and consumer assets are used.
The emerging opportunity lies in the digital systems that determine when electricity should be consumed, coordinate flexible demand and convert that flexibility into measurable commercial value.
