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Ruobin Qi
Ruobin Qi
Bestätigte E-Mail-Adresse bei student.nmt.edu
Titel
Zitiert von
Zitiert von
Jahr
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
322022
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
302021
DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition
Q Li, Z Luo, R Qi, J Zheng
IEEE Access, 2023
32023
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
32023
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
22022
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
22020
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
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