| 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 | 671 | 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 | 490 | 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 | 220 | 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, ... 2015 ieee global conference on signal and information processing (globalsip …, 2015 | 174 | 2015 |
| 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 | 151 | 2014 |
| 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 | 134 | 2019 |
| 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 | 75 | 2011 |
| 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 | 66 | 2014 |
| Unsupervised training methods for non-intrusive appliance load monitoring from smart meter data O Parson University of Southampton, 2014 | 66 | 2014 |
| 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 | 61 | 2015 |
| 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 | 60 | 2013 |
| 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 | 55 | 2014 |
| 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 | 24 | 2015 |
| 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 | 23 | 2013 |
| 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 | 14 | 2014 |
| 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 | 13 | 2019 |
| Using hidden markov model variants for non-intrusive appliance load monitoring from smart meter data O Parson Cité en, 18, 2012 | 9 | 2012 |
| 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 | 7 | 2020 |
| 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 | 7 | 2014 |
| System for energy consumption prediction A Andrei, J Anning, S Wood, O Parson, M Hamouz US Patent 11,468,375, 2022 | 6 | 2022 |
Alex RogersProfessor of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
