2 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
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…