| The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes J Kelly, W Knottenbelt Scientific Data 2, 2015 | 1047 | 2015 |
| Neural NILM: Deep Neural Networks Applied to Energy Disaggregation J Kelly, W Knottenbelt The 2nd ACM International Conference on Embedded Systems For Energy …, 2015 | 1017 | 2015 |
| NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring N Batra, J Kelly, O Parson, H Dutta, W Knottenbelt, A Rogers, A Singh, ... 5th International Conference on Future Energy Systems (ACM e-Energy), 2014 | 656 | 2014 |
| Dataport and NILMTK: a building data set designed for non-intrusive load monitoring O Parson, G Fisher, A Hersey, N Batra, J Kelly, A Singh, W Knottenbelt, ... 1st International Symposium on Signal Processing Applications in Smart …, 2015 | 165 | 2015 |
| Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature J Kelly, W Knottenbelt 3rd International NILM Workshop, 2016 | 96 | 2016 |
| Metadata for Energy Disaggregation J Kelly, W Knottenbelt The 2nd IEEE International Workshop on Consumer Devices and Systems (CDS …, 2014 | 82 | 2014 |
| Disaggregation of Domestic Smart Meter Energy Data J Kelly Imperial College London, 2016 | 68 | 2016 |
| NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets J Kelly, N Batra, O Parson, H Dutta, W Knottenbelt, A Rogers, A Singh, ... Proceedings of the 1st ACM Conference on Embedded Systems for Energy …, 2014 | 53* | 2014 |
| A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK D Stowell, J Kelly, D Tanner, J Taylor, E Jones, J Geddes, E Chalstrey Scientific Data 7 (1), 394, 2020 | 42 | 2020 |
| Disaggregating Smart Meter Readings using Device Signatures J Kelly, W Knottenbelt Imperial College London, 2011 | 26 | 2011 |
| Short-term solar irradiance forecasting using calibrated probabilistic models E Zelikman, S Zhou, J Irvin, C Raterink, H Sheng, A Avati, J Kelly, ... arXiv preprint arXiv:2010.04715, 2020 | 21 | 2020 |
| Interpreting wide-band neural activity using convolutional neural networks M Frey, S Tanni, C Perrodin, A O'Leary, M Nau, J Kelly, A Banino, ... ELife 10, e66551, 2021 | 20 | 2021 |
| Smarter Electricity and Argumentation Theory M Makriyiannis, T Lung, R Craven, F Toni, J Kelly Combinations of Intelligent Methods and Applications 46, 79-95, 2016 | 12 | 2016 |
| Disaggregating Multi-State Appliances from Smart Meter Data J Kelly, W Knottenbelt SIGMETRICS Ph.D. poster session, 2012 | 11 | 2012 |
| Disaggregating Multi-State Appliances from Smart Meter Data J Kelly, W Knottenbelt Imperial College Energy and Performance Colloquium, 2012 | 11 | 2012 |
| Deepinsight: a general framework for interpreting wide-band neural activity M Frey, S Tanni, C Perrodin, A O’Leary, M Nau, J Kelly, A Banino, ... bioRxiv, 871848, 2019 | 7 | 2019 |
| Short-term prediction of photovoltaic power generation using Gaussian process regression YA Lawati, J Kelly, D Stowell arXiv preprint arXiv:2010.02275, 2020 | 2 | 2020 |
| Smarter Electricity through Argumentation M Makriyiannis, T Lung, R Craven, F Toni, J Kelly 4th International Workshop on Combinations of Intelligent Methods and …, 2014 | 1 | 2014 |
| Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes S Nassimiha, P Dudfield, J Kelly, MP Deisenroth, S Takao arXiv preprint arXiv:2302.00388, 2023 | | 2023 |
| A general framework for decoding sensory and behavioural variables from wide-band neural activity M Frey, S Tanni, C Perrodin, A O'Leary, M Nau, J Kelly, A Banino, ... 49th Annual Meeting of the Society for Neuroscience (SfN), 2019 | | 2019 |
William KnottenbeltProfessor of Applied Quantitative Analysis, Department of Computing, Imperial College London在 doc.ic.ac.uk 的电子邮件经过验证
