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Jack Kelly
Jack Kelly
ex Imperial & DeepMind. Now running non-profit focused on climate change mitigation.
在 imperial.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
10472015
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
J Kelly, W Knottenbelt
The 2nd ACM International Conference on Embedded Systems For Energy …, 2015
10172015
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
6562014
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
1652015
Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature
J Kelly, W Knottenbelt
3rd International NILM Workshop, 2016
962016
Metadata for Energy Disaggregation
J Kelly, W Knottenbelt
The 2nd IEEE International Workshop on Consumer Devices and Systems (CDS …, 2014
822014
Disaggregation of Domestic Smart Meter Energy Data
J Kelly
Imperial College London, 2016
682016
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
422020
Disaggregating Smart Meter Readings using Device Signatures
J Kelly, W Knottenbelt
Imperial College London, 2011
262011
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
212020
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
202021
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
122016
Disaggregating Multi-State Appliances from Smart Meter Data
J Kelly, W Knottenbelt
SIGMETRICS Ph.D. poster session, 2012
112012
Disaggregating Multi-State Appliances from Smart Meter Data
J Kelly, W Knottenbelt
Imperial College Energy and Performance Colloquium, 2012
112012
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
72019
Short-term prediction of photovoltaic power generation using Gaussian process regression
YA Lawati, J Kelly, D Stowell
arXiv preprint arXiv:2010.02275, 2020
22020
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
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
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