Proceedings of the International scientific and practical conference ―Science, Technology and Culture in the Era of Globalization‖ (December 24-26, 2025) / Publisher website: www.naukainfo.com. – Geneva, Switzerland, 2026. – 234 p.

193 solar generation can be complemented by other technologies to provide essential system services [7]. A key aspect of planning the further development of decentralized solar generation is a detailed assessment of its potential, both in terms of installed capacity and actual electricity production, taking into account seasonal and diurnal variations in solar irradiance. Various methodologies are used for this purpose, ranging from dynamic modeling based on geospatial building data and solar insolation to large- scale national assessments that take into account the specifics of the territorial potential distribution. Such an approach allows not only for a quantitative evaluation of deployment opportunity but also for the development of strategic scenarios for integrating RTPV into local energy systems. Finally, a substantial concentration of rooftop photovoltaic potential is observed in high-density urban areas, creating opportunities for the formation of energy communities, microgrids, and new energy supply business models. In this regard, the development of decentralized renewable energy generation in Ukraine not only addresses current energy security challenges but also lays the foundation for a long- term transition to a more resilient and adaptive energy system capable of withstanding future crises. Some recent studies have analyzed in detail the methods for assessing the potential of rooftop photovoltaic systems (RTPV), in particular the work presented in the publication ―High-Resolution Rooftop-PV Potential Assessment for Resilient Energy System in Ukraine‖ [8], authored by a group of scientists who proposed a comprehensive approach using satellite data and geospatial analysis to determine the technical potential of PV systems. Specifically, the authors applied a comprehensive approach to assessing the technical potential of rooftop PV systems in Ukraine, based on the analysis of open- access satellite data on building footprints. The lack of detailed national cadastral data was compensated for by using two main sources: Microsoft GlobalML and World Settlement Footprint (WSF). However, due to existing inaccuracies in area measurements and coverage within these datasets, a correction was applied based on