An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study D Murray, L Stankovic, V Stankovic Scientific data 4 (1), 1-12, 2017 | 424 | 2017 |
Non-intrusive load disaggregation using graph signal processing K He, L Stankovic, J Liao, V Stankovic IEEE Transactions on Smart Grid 9 (3), 1739-1747, 2016 | 315 | 2016 |
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 | 241 | 2016 |
Scalable video multicast using expanding window fountain codes D Vukobratovic, V Stankovic, D Sejdinovic, L Stankovic, Z Xiong IEEE Transactions on Multimedia 11 (6), 1094-1104, 2009 | 171 | 2009 |
Compressive video sampling V Stanković, L Stanković, S Cheng Signal Processing Conference, 2008 16th European, 1-5, 2008 | 161 | 2008 |
Non-intrusive appliance load monitoring using low-resolution smart meter data J Liao, G Elafoudi, L Stankovic, V Stankovic 2014 IEEE International Conference on Smart Grid Communications …, 2014 | 143 | 2014 |
Transferability of neural network approaches for low-rate energy disaggregation D Murray, L Stankovic, V Stankovic, S Lulic, S Sladojevic ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 131 | 2019 |
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 | 122 | 2018 |
Deep-based conditional probability density function forecasting of residential loads M Afrasiabi, M Mohammadi, M Rastegar, L Stankovic, S Afrasiabi, ... IEEE Transactions on Smart Grid 11 (4), 3646-3657, 2020 | 121 | 2020 |
Measuring the energy intensity of domestic activities from smart meter data L Stankovic, V Stankovic, J Liao, C Wilson Applied Energy 183, 1565-1580, 2016 | 121 | 2016 |
Can non-intrusive load monitoring be used for identifying an appliance’s anomalous behaviour? H Rashid, P Singh, V Stankovic, L Stankovic Applied energy 238, 796-805, 2019 | 118 | 2019 |
A data management platform for personalised real-time energy feedback D Murray, J Liao, L Stankovic, V Stankovic, R Hauxwell-Baldwin, C Wilson, ... 8th International Conference on Energy Efficiency in Domestic Appliances and …, 2015 | 113 | 2015 |
Low-complexity energy disaggregation using appliance load modelling H Altrabalsi, V Stankovic, J Liao, L Stankovic Aims Energy 4 (1), 884-905, 2016 | 82 | 2016 |
A graph-based signal processing approach for low-rate energy disaggregation V Stankovic, J Liao, L Stankovic 2014 IEEE symposium on computational intelligence for engineering solutions …, 2014 | 75 | 2014 |
Understanding usage patterns of electric kettle and energy saving potential DM Murray, J Liao, L Stankovic, V Stankovic Applied energy 171, 231-242, 2016 | 64 | 2016 |
A depth camera motion analysis framework for tele-rehabilitation: Motion capture and person-centric kinematics analysis M Ye, C Yang, V Stankovic, L Stankovic, A Kerr IEEE Journal of Selected Topics in Signal Processing 10 (5), 877-887, 2016 | 63 | 2016 |
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 | 62 | 2020 |
Power disaggregation for low-sampling rate data J Liao, G Elafoudi, L Stankovic, V Stankovic 2nd International non-intrusive appliance load monitoring workshop, Austin …, 2014 | 59 | 2014 |
Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life? T Hargreaves, R Hauxwell-Baldwin, M Coleman, C Wilson, L Stankovic, ... ECEEE-2015, 2015 | 56 | 2015 |
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 | 54 | 2019 |