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Oliver Parson
Oliver Parson
Principal Data Scientist
Verified email at nationalgrid.com - Homepage
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Cited by
Cited by
Year
NILMTK: An open source toolkit for non-intrusive load monitoring
N Batra, J Kelly, O Parson, H Dutta, W Knottenbelt, A Rogers, A Singh, ...
Proceedings of the 5th international conference on Future energy systems …, 2014
6712014
Non-intrusive load monitoring using prior models of general appliance types
O Parson, S Ghosh, M Weal, A Rogers
Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), 2012
4912012
An unsupervised training method for non-intrusive appliance load monitoring
O Parson, S Ghosh, M Weal, A Rogers
Artificial Intelligence 217, 1-19, 2014
2222014
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, ...
2015 ieee global conference on signal and information processing (globalsip …, 2015
1752015
A comparison of non-intrusive load monitoring methods for commercial and residential buildings
N Batra, O Parson, M Berges, A Singh, A Rogers
arXiv preprint arXiv:1408.6595, 2014
1512014
Towards reproducible state-of-the-art energy disaggregation
N Batra, R Kukunuri, A Pandey, R Malakar, R Kumar, O Krystalakos, ...
Proceedings of the 6th ACM international conference on systems for energy …, 2019
1362019
Using hidden markov models for iterative non-intrusive appliance monitoring
O Parson, S Ghosh, M Weal, A Rogers
Neural Information Processing Systems workshop on Machine Learning for …, 2011
752011
A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring
D Zilli, O Parson, GV Merrett, A Rogers
Journal of Artificial Intelligence Research 51, 805-827, 2014
662014
Unsupervised training methods for non-intrusive appliance load monitoring from smart meter data
O Parson
University of Southampton, 2014
662014
Detecting anomalies in activities of daily living of elderly residents via energy disaggregation and cox processes
J Alcalá, O Parson, A Rogers
Proceedings of the 2nd ACM international conference on embedded systems for …, 2015
612015
Recommending energy tariffs and load shifting based on smart household usage profiling
JE Fischer, SD Ramchurn, M Osborne, O Parson, TD Huynh, M Alam, ...
Proceedings of the 2013 international conference on Intelligent user …, 2013
602013
Nilmtk v0. 2: a non-intrusive load monitoring toolkit for large scale data sets: demo abstract
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
552014
The activecrowdtoolkit: An open-source tool for benchmarking active learning algorithms for crowdsourcing research
M Venanzi, O Parson, A Rogers, N Jennings
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015
242015
Agentswitch: Towards smart energy tariff selection
SD Ramchurn, M Osborne, O Parson, T Rahwan, S Maleki, S Reece, ...
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
232013
A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK
N Batra, R Kukunuri, A Pandey, R Malakar, R Kumar, O Krystalakos, ...
Proceedings of the 6th ACM international conference on systems for energy …, 2019
142019
A scalable non-intrusive load monitoring system for fridge-freezer energy efficiency estimation
O Parson, M Weal, A Rogers
Proceedings of the 2nd International Workshop on Non-Intrusive Load Monitoring, 2014
142014
Using hidden markov model variants for non-intrusive appliance load monitoring from smart meter data
O Parson
Cité en, 18, 2012
92012
NILMTK-Contrib: Towards reproducible state-of-the-art energy disaggregation
R Kukunuri, N Batra, A Pandey, R Malakar, R Kumar, O Krystalakos, ...
Proceedings of the AI Social Good Workshop, Virtual, 20-21, 2020
72020
Demo Abstract: 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, ...
arXiv preprint arXiv:1409.5908, 2014
72014
System for energy consumption prediction
A Andrei, J Anning, S Wood, O Parson, M Hamouz
US Patent 11,468,375, 2022
62022
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Articles 1–20