4 papers
U.S. Power Resilience for 2002--2019
Aman Ankit, Zhanlin Liu, Scott B. Miles +1
Prolonged power outages debilitate the economy and threaten public health. Existing research is generally limited in its scope to a single event, an outage cause, or a region. Here…
Data-driven sparse polynomial chaos expansion for models with dependent inputs
Zhanlin Liu, Youngjun Choe
Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs. PCEs for model…
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion
Zhanlin Liu, Ashis G. Banerjee, Youngjun Choe
Sensitivity analysis (SA) is an important aspect of process automation. It often aims to identify the process inputs that influence the process output's variance significantly. Exi…
Data-Driven Sensitivity Indices for Models With Dependent Inputs Using the Polynomial Chaos Expansion
Zhanlin Liu, Youngjun Choe
Uncertainties exist in both physics-based and data-driven models. Variance-based sensitivity analysis characterizes how the variance of a model output is propagated from the model…