2 citations · 5 across the 6 of their papers we have counts for
6 papers
PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid
Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar +1
The electrical power grid is a critical infrastructure, with disruptions in transmission having severe repercussions on daily activities, across multiple sectors. To identify, prev…
Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks
Andrea Pinceti, Lalitha Sankar, Oliver Kosut
A framework for the generation of synthetic time-series transmission-level load data is presented. Conditional generative adversarial networks are used to learn the patterns of a r…
Generation of Synthetic Multi-Resolution Time Series Load Data
Andrea Pinceti, Lalitha Sankar, Oliver Kosut
The availability of large datasets is crucial for the development of new power system applications and tools; unfortunately, very few are publicly and freely available. We designed…
A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid
Zhigang Chu, Andrea Pinceti, Ramin Kaviani +10
In this paper, we investigate the feasibility and physical consequences of cyber attacks against energy management systems (EMS). Within this framework, we have designed a complete…
Detection and Localization of Load Redistribution Attacks on Large Scale Systems
Andrea Pinceti, Lalitha Sankar, Oliver Kosut
A nearest neighbor-based detection scheme against load redistribution attacks is presented. The detector is designed to scale from small to very large systems while guaranteeing co…
Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs?
Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas +3
Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the -test based bad data detector (BDD), resulting in physical consequences (suc…