Jack Kelly
Jack Kelly
ex Imperial & DeepMind. Now running non-profit focused on climate change mitigation.
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
4662015
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
J Kelly, W Knottenbelt
The 2nd ACM International Conference on Embedded Systems For Energy …, 2015
4302015
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
3992014
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
632015
Metadata for Energy Disaggregation
J Kelly, W Knottenbelt
The 2nd IEEE International Workshop on Consumer Devices and Systems (CDS …, 2014
532014
Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature
J Kelly, W Knottenbelt
3rd International NILM Workshop, 2016
452016
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
42*2014
Disaggregation of Domestic Smart Meter Energy Data
J Kelly
Imperial College London, 2016
362016
Disaggregating Smart Meter Readings using Device Signatures
J Kelly, W Knottenbelt
Imperial College London, 2011
242011
Disaggregating Multi-State Appliances from Smart Meter Data
J Kelly, W Knottenbelt
SIGMETRICS Ph.D. poster session, 2012
92012
Disaggregating Multi-State Appliances from Smart Meter Data
J Kelly, W Knottenbelt
Imperial College Energy and Performance Colloquium, 2012
92012
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
62016
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
32019
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
E Zelikman, S Zhou, J Irvin, C Raterink, H Sheng, J Kelly, R Rajagopal, ...
arXiv preprint arXiv:2010.04715, 2020
12020
Smarter Electricity through Argumentation
M Makriyiannis, T Lung, R Craven, F Toni, J Kelly
4th International Workshop on Combinations of Intelligent Methods and …, 2014
12014
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), 1-15, 2020
2020
Short-term prediction of photovoltaic power generation using Gaussian process regression
YA Lawati, J Kelly, D Stowell
arXiv preprint arXiv:2010.02275, 2020
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, ...
bioRxiv, 871848, 2020
2020
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
Decoding spatial behaviour from raw hippocampal activity using deep learning
M Frey, S Tanni, C Perrodin, A O'Leary, M Nau, J Kelly, A Banino, ...
48th Annual Meeting of the Society for Neuroscience (SfN), 2018
2018
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Articles 1–20