Fenexity is built on peer-reviewed work in the same problem space buyers face in depot electrification: schedules, charging infrastructure, electricity markets, battery aging, emissions, and fixed-route operations.
Mixed-integer optimization for e-bus fleets
Charging infrastructure dimensioning for fixed-route transport
Short-term electricity and balancing-market strategies
Shows the optimization depth behind Fenexity: operational constraints, market signals, battery degradation, and emissions can be handled in one decision logic. DOI: 10.26083/tuprints-00027836
DOI / sourceSupports buyer confidence that depot fleets can be evaluated as operational fleets and flexible energy assets, without separating energy strategy from service reliability. DOI: 10.1016/j.segy.2024.100153
DOI / sourceConnects schedules, vehicle constraints, partial charging, mixed fleets, and practical computation limits: the exact complexity operators face before go-live. DOI: 10.1109/ITSC58415.2024.10919957
DOI / sourceShows why charging time matters for emissions reporting and energy strategy when grid carbon intensity changes over the day. DOI: 10.1109/EEEIC/ICPSEurope61470.2024.10751621
DOI / sourceAdds electricity-market context for buyers evaluating tariffs, flexibility, balancing services, and future energy-market participation. DOI: 10.1016/j.egyr.2023.07.045
DOI / sourceSupports infrastructure sizing for predictable-route fleets: charger count, grid connection, and operational timing need to be planned together. DOI: 10.3390/wevj12040258
DOI / sourceThe publications show that Fenexity is not a generic charging dashboard. The product is grounded in serious optimization work for fleet operations.
Research results are not copied into generic savings promises. Fenexity separates proven method, modelled scenario, and measured customer outcome.
The value for buyers is practical: Fenexity turns advanced optimization patterns into depot decisions teams can operate, review, and procure.
