Abstract. This article proposes a conceptual model for an integrated energy supply system for Urban Air Mobility (UAM). The aim is to enhance the robustness of the UAM system. UAM energy infrastructure agents include eVTOL aircraft, vertiports equipped with high-capacity charging stations, high-speed charging systems, energy storage systems, and renewable energy sources. Key aspects of the digital transformation of regional renewable energy for UAM include smart grids, artificial intelligence, the Internet of Things (IoT), and charging infrastructure. Vertiport energy systems are integrated with urban power grids and the low-altitude economy. Urban infrastructure development integrates the air mobility system into the broader electric power framework—including infrastructure monitoring—in alignment with Kazakhstan’s civil unmanned aviation development plans for 2025–2031. A geosystem approach was employed as the methodology for examining regional renewable energy resources within the context of urban air mobility. In the final conceptual model, the solution is framed as a spatially integrated 2D vector system: a vertical vector representing the geosystem and a horizontal vector representing the electric power sector. The tasks addressed fall within the realm of cyber-system modeling, utilizing probabilistic, simulation, agent-based, and expert-driven formal foresight tools. Foresight modeling tools were applied to assess priority rankings within the integrated power sector development system. Significance rankings were determined for the following energy development areas: coal-fired power generation, large-scale nuclear power, large-scale hydropower, small-scale hydropower, wind power, and solar power. heat pumps; small-scale nuclear power; integrated renewable energy sources; hydrogen-based power generation. Small-scale nuclear power was given the highest priority, followed by small-scale hydropower. These results are closely linked to the region’s natural-climatic, socio-economic, and geographical characteristics.

Keywords: system, energy sector, cyber-technology, risk, mathematical support, technical support, simulation models.