Publications (8)
Data-driven Modeling for Distribution Grids Under Partial Observability
Shanny Lin, Hao Zhu
Accurately modeling power distribution grids is crucial for designing effective monitoring and decision making algorithms. This paper addresses the partial observability issue of d…
Enhancing the Spatio-Temporal Observability of Residential Loads
Shanny Lin, Hao Zhu
Enhancing the spatio-temporal observability of residential loads is crucial for achieving secure and efficient operations in distribution systems with increasing penetration of dis…
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Shanny Lin, Shaohui Liu, Hao Zhu
Real-time coordination of distributed energy resources (DERs) is crucial for regulating the voltage profile in distribution grids. By capitalizing on a scalable neural network (NN)…
PiMiX 2.0: AI-enhanced Data Fusion for Radiographic Imaging and Tomography
Zhehui Wang, Shanny Lin, Nicholas Amano +8
Extending earlier work in Physics-informed Meta-instrument for eXperiments (PiMiX) [1], PiMiX~2.0 is an artificial-intelligence (AI)-enhanced data-fusion and analysis framework tha…
Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy
Zhehui Wang, Shanny Lin, Miles Teng-Levy +24
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids
Shanny Lin, Hao Zhu
Enhancing the spatio-temporal observability of distributed energy resources (DERs) is crucial for achieving secure and efficient operations in distribution grids. This paper puts f…
Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography
Xin Yue, Shanny Lin, Wenting Li +11
We summarize recent progress in ultrafast Complementary Metal Oxide Semiconductor (CMOS) image sensor development and the application of neural networks for post-processing of CMOS…
Secure Integration of Electric Vehicles with the Power Grid
Chaitra Niddodi, Shanny Lin, Sibin Mohan +1
This paper focuses on the secure integration of distributed energy resources (DERs), especially pluggable electric vehicles (EVs), with the power grid. We consider the vehicle-to-g…