Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Physics-Augmented Modeling And Optimization Of Complex Systems: Healthcare Applications, Jianxin Xie
Physics-Augmented Modeling And Optimization Of Complex Systems: Healthcare Applications, Jianxin Xie
Doctoral Dissertations
The rapid advances in sensing technology have created a data-rich environment that tremendously
benefits predictive modeling and decision-making for complex systems. Harnessing
the full potential of this complexly-structured sensing data requires the development of
novel and reliable analytical models and tools for system informatics. Such advancements in
sensing present unprecedented opportunities to investigate system dynamics and optimize
decision-making processes for smart health. Nevertheless, sensing data is typically
characterized by high dimensionality and intricate structures. To fully unlock the potential of
this data, we significantly rely on innovative analytical methods and tools that can effectively
process information.
The objective of this …
Deep Learning Based Power System Stability Assessment For Reduced Wecc System, Yinfeng Zhao
Deep Learning Based Power System Stability Assessment For Reduced Wecc System, Yinfeng Zhao
Doctoral Dissertations
Power system stability is the ability of power system, for a giving initial operating condition, to reach a new operation condition with most of the system variables bounded in normal range after subjecting to a short or long disturbance. Traditional power system stability mainly uses time-domain simulation which is very time consuming and only appropriate for offline assessment.
Nowadays, with increasing penetration of inverter based renewable, large-scale distributed energy storage integration and operation uncertainty brought by weather and electricity market, system dynamic and operating condition is more dramatic, and traditional power system stability assessment based on scheduling may not be …