Research is being conducted on hybrid mechanism-data-driven modeling for power system frequency response. This area of study appears to be connected to broader efforts to enhance system resilience and predictability in the face of various challenges, including climate change and environmental volatility. The use of artificial intelligence, machine learning, and data-driven methods is being explored for applications such as predicting remaining useful life, detecting attacks, and optimizing energy generation.