Shu-Jing Lin

SYSTEM MODELING AND DATA-DRIVEN APPROACH FOR DYNAMIC RISK EARLY WARNING AND CONTROL THROUGHOUT THE POWER EXTENSION PROCESS

Risk factors are highly coupled and continuously evolve throughout the entire power extension operation process. Existing risk management methods, primarily based on static experience, are insufficient to support real-time early warning and effective control. To address this issue, this paper uses multi-source time-ser...