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.
203 characteristics and perform computational tasks autonomously. This approach will help reduce grid load and allocate resources more efficiently. Federated learning plays an important role in overcoming resource constraints at the edge, allowing artificial intelligence models to be trained without centralized data collection. This significantly reduces the amount of data transferred, increases user privacy, and at the same time maintains high quality model training. The adoption of open standards and device communication protocols, such as OpenADR, as well as the use of compatible middleware platforms, facilitates the integration of heterogeneous components into a unified system. In addition, to improve operational efficiency under resource constrains and variable loads, dynamic allocation of computational resources, edge-level data caching, and adaptive task scheduling are used. These techniques reduce processing latency and ensure system stability, which is especially important for energy grids with a high share of renewable sources and the need to quickly respond to changes in energy consumption and production. Together, these solutions create the foundation for scalable, integrated, and resilient Edge AI systems in modern decentralized energy grids. Conclusion. The global transformation of energy systems in the 21st century is driven by a complex set of climate, economic and security-related challenges, requiring a transition from centralized to more flexible and resilient energy supply models. Renewable energy sources, particularly solar photovoltaic generation, play a key role in this transformation, ensuring not only environmental sustainability but also increased energy autonomy at the local level. In times of crisis, particularly armed conflicts and the destruction of critical infrastructure, centralized energy systems are highly vulnerable, which drives the development of decentralized energy solutions. Rooftop photovoltaic systems are one of the most promising local generation options, capable of ensuring uninterrupted power supply and reducing dependence on main grids. For Ukraine, which has suffered significant damage to its centralized infrastructure, the development of decentralized renewable generation is of particular
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