| Field-validated load model for the analysis of CVR in distribution secondary networks: Energy conservation M Diaz-Aguiló, J Sandraz, R Macwan, F De Leon, D Czarkowski, ... IEEE Transactions on Power Delivery 28 (4), 2428-2436, 2013 | 176 | 2013 |
| Anomaly detection in electrical substation circuits via unsupervised machine learning A Valdes, R Macwan, M Backes 2016 IEEE 17th international conference on information reuse and integration …, 2016 | 54 | 2016 |
| A survey of cyber-physical power system modeling methods for future energy systems M Abdelmalak, V Venkataramanan, R Macwan IEEE Access 10, 99875-99896, 2022 | 42 | 2022 |
| Improving grid resilience using high-voltage DC: strengthening the security of power system stability D Roberson, HC Kim, B Chen, C Page, R Nuqui, A Valdes, R Macwan, ... IEEE Power and Energy Magazine 17 (3), 38-47, 2019 | 35 | 2019 |
| Collaborative defense against data injection attack in IEC61850 based smart substations R Macwan, C Drew, P Panumpabi, A Valdes, N Vaidya, P Sauer, ... 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 33 | 2016 |
| Energy and economic impacts of the application of CVR in heavily meshed secondary distribution networks JPA Sandraz, R Macwan, M Diaz-Aguiló, J McClelland, F De León, ... IEEE transactions on power delivery 29 (4), 1692-1700, 2014 | 33 | 2014 |
| A methodology to analyze conservation voltage reduction performance using field test data HJ Liu, R Macwan, N Alexander, H Zhu 2014 IEEE International Conference on Smart Grid Communications …, 2014 | 26 | 2014 |
| Coordination of DERs in microgrids with cybersecure resilient decentralized secondary frequency control HJ Liu, M Backes, R Macwan, A Valdes | 15 | 2018 |
| Assessing the impact of cybersecurity attacks on energy systems S Vijayshankar, CY Chang, K Utkarsh, D Wald, F Ding, SP Balamurugan, ... Applied Energy 345, 121297, 2023 | 10 | 2023 |
| Reinforcement learning environment for cyber-resilient power distribution system A Sahu, V Venkatraman, R Macwan IEEE Access 11, 127216-127228, 2023 | 7 | 2023 |
| Cyber-Informed Engineering Implementation Guide VL Wright, JP Meng, RS Anderson, JR Gellner, LB Barnes, SD Chanoski, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 6 | 2023 |
| Demystifying Cyberattacks: Potential for Securing Energy Systems With Explainable AI S Paul, S Vijayshankar, R Macwan 2024 International Conference on Computing, Networking and Communications …, 2024 | 3 | 2024 |
| Artificial Intelligence for Energy Systems Cybersecurity R Macwan, R King National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021 | 3 | 2021 |
| Cyberattacks on Primary Frequency Response Mechanisms in Power Grids VB Krishna, Z Wu, VV Ambardekar, R Macwan, WH Sanders Computer 51 (11), 37-45, 2018 | 2 | 2018 |
| A randomization-based, zero-trust cyberattack detection method for hierarchical systems S Murphy, R Macwan, VK Singh, CY Chang 2023 IEEE Secure Development Conference (SecDev), 145-155, 2023 | 1 | 2023 |
| Verifying the Computational Integrity of Power Grid Controls with Zero-Knowledge Proof CY Chang, R Macwan, S Murphy 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 1 | 2023 |
| Zero-Knowledge Proof-Based Approach for Verifying the Computational Integrity of Power Grid Controls CY Chang, R Macwan, S Murphy arXiv preprint arXiv:2211.06724, 2022 | 1 | 2022 |
| Fast, Approximate State Estimation Based Approach for Cyber Threat Detection in Power Systems. A Chattopadhyay, S Dasgupta, R Macwan, A Valdes, R Nuqui, G Gross, ... HICSS, 1-10, 2020 | 1 | 2020 |
| ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning A Sahu, V Venkataramanan, R Macwan arXiv preprint arXiv:2501.12362, 2025 | | 2025 |
| Requirements Framework for Cyber-Informed Engineering S Etigowni, R Macwan, J Welch | | 2025 |
