| On a training-less solution for non-intrusive appliance load monitoring using graph signal processing B Zhao, L Stankovic, V Stankovic IEEE Access 4, 1784-1799, 2016 | 237 | 2016 |
| Improving event-based non-intrusive load monitoring using graph signal processing B Zhao, K He, L Stankovic, V Stankovic IEEE Access 6, 53944-53959, 2018 | 116 | 2018 |
| Non-intrusive load disaggregation solutions for very low-rate smart meter data B Zhao, M Ye, L Stankovic, V Stankovic Applied energy 268, 114949, 2020 | 58 | 2020 |
| A generic optimisation-based approach for improving non-intrusive load monitoring K He, D Jakovetic, B Zhao, V Stankovic, L Stankovic, S Cheng IEEE Transactions on Smart Grid 10 (6), 6472-6480, 2019 | 53 | 2019 |
| Blind non-intrusive appliance load monitoring using graph-based signal processing B Zhao, L Stankovic, V Stankovic 2015 IEEE global conference on signal and information processing (GlobalSIP …, 2015 | 37 | 2015 |
| Industrial load disaggregation based on hidden Markov models W Luan, F Yang, B Zhao, B Liu Electric Power Systems Research 210, 108086, 2022 | 19 | 2022 |
| Arc fault detection and identification via non-intrusive current disaggregation W Luan, J Lin, B Liu, B Zhao Electric Power Systems Research 210, 108113, 2022 | 18 | 2022 |
| Electricity usage profile disaggregation of hourly smart meter data B Zhao, L Stankovic, V Stankovic 4th International Workshop on Non-Intrusive Load Monitoring, 2018 | 17 | 2018 |
| FHMM based industrial load disaggregation F Yang, B Liu, W Luan, B Zhao, Z Liu, X Xiao, R Zhang 2021 6th Asia conference on power and electrical engineering (ACPEE), 330-334, 2021 | 16 | 2021 |
| Nonintrusive load monitoring based on self-supervised learning S Chen, B Zhao, M Zhong, W Luan, Y Yu IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2023 | 11 | 2023 |
| Network coding hard and soft decision behavior over the physical payer using PUMTC H Attar, M Alhihi, B Zhao, L Stankovic 2018 International Conference on Advances in Computing and Communication …, 2018 | 11 | 2018 |
| Leveraging sequence-to-sequence learning for online non-intrusive load monitoring in edge device W Luan, R Zhang, B Liu, B Zhao, Y Yu International Journal of Electrical Power & Energy Systems 148, 108910, 2023 | 10 | 2023 |
| Optimal power flow in distribution network: A review on problem formulation and optimization methods C Yang, Y Sun, Y Zou, F Zheng, S Liu, B Zhao, M Wu, H Cui Energies 16 (16), 5974, 2023 | 6 | 2023 |
| Unsupervised identification and status assessment for electric bicycle charging load W Luan, C Ma, B Liu, B Zhao, Y Wang Electric Power Systems Research 210, 108130, 2022 | 4 | 2022 |
| A training-free non-intrusive load monitoring approach for high-frequency measurements based on graph signal processing X Li, B Zhao, W Luan, B Liu 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE), 859-863, 2022 | 4 | 2022 |
| An unsupervised non-intrusive electric bicycle charging detection method C Ma, B Zhao, W Luan, B Liu 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE), 335-339, 2021 | 4 | 2021 |
| Enhanced NILM load pattern extraction via variable-length motif discovery B Liu, J Zheng, W Luan, F Chang, B Zhao, Z Liu International Journal of Electrical Power & Energy Systems 152, 109207, 2023 | 3 | 2023 |
| Leveraging hybrid probabilistic multi-objective evolutionary algorithm for dynamic tariff design W Luan, L Tian, B Zhao Applied Energy 342, 121123, 2023 | 3 | 2023 |
| Apply graph signal processing on nilm: An unsupervised approach featuring power sequences B Zhao, X Li, W Luan, B Liu Sensors 23 (8), 3939, 2023 | 3 | 2023 |
| An unsupervised load disaggregation approach based on graph signal processing featuring power sequences X Li, B Zhao, W Luan, B Liu Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022 | 3 | 2022 |
Lina StankovicProfessor at University of StrathclydeVerified email at strath.ac.uk
