A novel unsupervised data-driven method for electricity theft detection in AMI using observer meters R Qi, J Zheng, Z Luo, Q Li IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 32 | 2022 |
Detecting cyber attacks in smart grids using semi-supervised anomaly detection and deep representation learning R Qi, C Rasband, J Zheng, R Longoria Information 12 (8), 328, 2021 | 30 | 2021 |
DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition Q Li, Z Luo, R Qi, J Zheng IEEE Access, 2023 | 3 | 2023 |
Feature engineering for semi-supervised electricity theft detection in AMI E Orozco, R Qi, J Zheng 2023 IEEE Green Technologies Conference (GreenTech), 128-133, 2023 | 3 | 2023 |
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data Z Luo, R Qi, Q Li, J Zheng, S Shao International Conference on Smart Computing and Communication, 152-164, 2022 | 2 | 2022 |
Semi-supervised outlier detection and deep feature extraction for detecting cyber-attacks in Smart Grids using PMU data R Qi, C Rasband, J Zheng, R Longoria 17th International Conference on Information Technology–New Generations …, 2020 | 2 | 2020 |
Deep semi-supervised electricity theft detection in AMI for sustainable and secure smart grids R Qi, Q Li, Z Luo, J Zheng, S Shao Sustainable Energy, Grids and Networks 36, 101219, 2023 | | 2023 |
Detecting Cyber-Attacks and Power System Disturbances in Smart Grids with Deep Forest C Rasband, R Qi, J Zheng International Conference On Systems Engineering, 146-155, 2023 | | 2023 |
Detecting Cyber Attacks in Smart Grids with Semi-Supervised Outlier Detection and Deep Feature Extraction R Qi New Mexico Institute of Mining and Technology, 2020 | | 2020 |
Detecting Cyber-Attacks in Smart Grids Using Semi-Supervised Outlier Detection and Deep Feature Extraction. R Qi, C Rasband, J Zheng, R Longoria New Mexico Journal of Science 53, 2019 | | 2019 |