The field of urban modeling and energy systems is witnessing a significant shift towards more scalable, privacy-preserving, and integrated approaches. Researchers are exploring novel frameworks for representing and analyzing urban environments, such as discretized 3D grids, to support downstream tasks like planning, navigation, and occupancy prediction. Meanwhile, the energy sector is seeing the development of innovative tools and methodologies for simulating and coordinating energy microgrids, including multi-agent systems and risk-based capacity accreditation frameworks. These advances have the potential to enhance the efficiency, resilience, and sustainability of urban energy systems. Noteworthy papers include:

• CubeletWorld, which introduces a novel framework for representing and analyzing urban environments through a discretized 3D grid of spatial units called cubelets, enabling privacy-preserving modeling and supporting various downstream tasks.
• EnergyTwin, which presents a multi-agent system for simulating and coordinating energy microgrids, coupling physically grounded models with forecast-informed planning and negotiations.