The field of power systems is witnessing a significant shift towards intelligent, low-carbon operations, driven by the integration of renewable energy sources and advanced optimization strategies. Researchers are exploring the potential of generative large models, symbolic regression, and other innovative approaches to enhance forecasting, scheduling, and market operations. Another key area of focus is cybersecurity, with studies investigating the impact of cyberattacks on inverter-based microgrids and the development of intrusion detection systems and cyber insurance frameworks. Noteworthy papers in this area include:

• A paper proposing a novel fault localization methodology for linear time-invariant electrical networks, which accommodates instability and bounded propagation delays.
• A study introducing a dataset for process-aware intrusion detection research on power grid networks, highlighting specific challenges for intrusion detection in power grids.
• A paper presenting a scalable automatic model generation tool for cyber-physical network topologies and data flows, enabling the creation of large-scale cyber-physical topologies for power system models.