Dynamic models are a cornerstone of power system stability and control. The growing penetration of inverter-based resources, driven by global decarbonization, significantly complicates power system ...

Recent cancer prognosis research emphasizes longitudinal data’s importance for survival prediction, yet its analysis challenges researchers, often leading to oversimplified dual-timepoint comparisons ...

We then review the state-of-the art methods for dynamic prediction and compare the strengths and limitations of these methods. Although static models will continue to play an important role in ...