Oliver Parson
Oliver Parson
Senior Data Scientist, Bulb
Verified email at bulb.co.uk - Homepage
Cited by
Cited by
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
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
An unsupervised training method for non-intrusive appliance load monitoring
O Parson, S Ghosh, M Weal, A Rogers
Artificial Intelligence 217, 1-19, 2014
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
Human–agent collaboration for disaster response
SD Ramchurn, F Wu, W Jiang, JE Fischer, S Reece, S Roberts, T Rodden, ...
Autonomous Agents and Multi-Agent Systems 30 (1), 82-111, 2016
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
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
Unsupervised training methods for non-intrusive appliance load monitoring from smart meter data
O Parson
University of Southampton, 2014
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
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
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
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
AgentSwitch: towards smart energy tariff selection.
SD Ramchurn, MA Osborne, O Parson, T Rahwan, S Maleki, S Reece, ...
AAMAS, 1401-1402, 2013
Provenance for the people: an HCI perspective on the W3C PROV standard through an online game
K Bachour, R Wetzel, M Flintham, TD Huynh, T Rodden, L Moreau
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015
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
Transferring decomposed tensors for scalable energy breakdown across regions
N Batra, Y Jia
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018
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
The ActiveCrowdToolkit: An open-source tool for benchmarking active learning algorithms for crowdsourcing research
M Venanzi, O Parson, A Rogers, NR Jennings
Using hidden Markov model variants for non-intrusive appliance load monitoring from smart meter data
O Parson
Unpublished doctoral dissertation, University of Southampton, Southampton, UK, 2012
GridCarbon: A smartphone app to calculate the carbon intensity of the GB electricity grid
A Rogers, O Parson
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