| Load redistribution attack detection using machine learning: A data-driven approach A Pinceti, L Sankar, O Kosut 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 26 | 2018 |
| Data-driven generation of synthetic load datasets preserving spatio-temporal features A Pinceti, O Kosut, L Sankar 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 18 | 2019 |
| Detection and localization of load redistribution attacks on large-scale systems A Pinceti, L Sankar, O Kosut Journal of modern power systems and clean energy 10 (2), 361-370, 2021 | 15 | 2021 |
| Synthetic time-series load data via conditional generative adversarial networks A Pinceti, L Sankar, O Kosut 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 11 | 2021 |
| Can predictive filters detect gradually ramping false data injection attacks against PMUs? Z Chu, A Pinceti, RS Biswas, O Kosut, A Pal, L Sankar 2019 IEEE International Conference on Communications, Control, and Computing …, 2019 | 10 | 2019 |
| Generation of synthetic multi‐resolution time series load data A Pinceti, L Sankar, O Kosut IET Smart Grid 6 (5), 492-502, 2023 | 4 | 2023 |
| Pmu tracker: A visualization platform for epicentric event propagation analysis in the power grid A Arunkumar, A Pinceti, L Sankar, C Bryan IEEE Transactions on Visualization and Computer Graphics 29 (1), 1081-1090, 2022 | 4 | 2022 |
| A verifiable framework for cyber-physical attacks and countermeasures in a resilient electric power grid Z Chu, A Pinceti, R Kaviani, R Khodadadeh, X Li, J Zhang, K Saikumar, ... arXiv preprint arXiv:2104.13908, 2021 | 3 | 2021 |
| Effects-based monitoring of geomagnetically-induced current using a convolutional neural network AA Ademola, X Li, A Pinceti, MJ Till, KD Jones, RM Gardner, Y Liu IEEE Transactions on Power Delivery 38 (1), 85-94, 2022 | 2 | 2022 |
| Synthetic PMU Data Creation Based on Generative Adversarial Network Under Time-varying Load Conditions X Zheng, A Pinceti, L Sankar, L Xie Journal of Modern Power Systems and Clean Energy 11 (1), 234-242, 2022 | 1 | 2022 |
| PMUVis: A Large-Scale Platform to Assist Power System Operators in a Smart Grid A Arunkumar, N Gupta, A Pinceti, L Sankar, C Bryan IEEE Computer Graphics and Applications 42 (6), 84-95, 2022 | 1 | 2022 |
| System Impact Assessment of a Proposed Geomagnetically-induced Current Field Test at a Dominion Energy Virginia Substation AA Ademola, A Pinceti, KA Vance, KD Jones, RM Gardner, JD McDonald CIGRE US National Committee, 2022 | 1 | 2022 |
| Impact of STATCOMs in Dominion Energy's System Restoration Plan B Niemann, R Liu, D Yang, Y Wang, A Pinceti 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-6, 2020 | 1 | 2020 |
| Sensitivities of Geomagnetically Induced Currents in Dominion Energy Virginia to the Neighboring Grids and Transformer Blocking Schemes AA Ademola, Y Liu, X Li, A Pinceti, MJ Till, KD Vance, KD Jones, ... 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | | 2023 |
| Automated Initialization of Large-Scale Real-Time EMT Simulation Studies using Measured Data E Segerstrom, A Pinceti, K Vance 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | | 2023 |
| Machine Learning for the Analysis of Power System Loads: Cyber-Attack Detection and Generation of Synthetic Datasets A Pinceti Arizona State University, 2021 | | 2021 |
| Synchrophasor Data-Analytics for a More Resilient Electric Power System L Sankar, C DeMarco, RS Biswas, M Barkakati, Z Chu, A Pinceti, ... | | 2019 |
| Y. LIU2, 3 AA ADEMOLA, A PINCETI, KA VANCE, KD JONES, RM GARDNER | | |
