The ECO Data Set and the Performance of Non-Intrusive Load Monitoring Algorithms C Beckel, W Kleiminger, R Cicchetti, T Staake, S Santini Proceedings of the 1st ACM Conference on Embedded Systems for Energy …, 2014 | 411 | 2014 |
Occupancy detection from electricity consumption data W Kleiminger, C Beckel, T Staake, S Santini Proceedings of the 5th ACM workshop on embedded systems for energy-efficient …, 2013 | 300 | 2013 |
Household occupancy monitoring using electricity meters W Kleiminger, C Beckel, S Santini Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 183 | 2015 |
Predicting household occupancy for smart heating control: A comparative performance analysis of state-of-the-art approaches W Kleiminger, F Mattern, S Santini Energy and Buildings 85, 493-505, 2014 | 159 | 2014 |
The influence of temporal and spatial features on the performance of next-place prediction algorithms P Baumann, W Kleiminger, S Santini Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 80 | 2013 |
Balancing load in stream processing with the cloud W Kleiminger, E Kalyvianaki, P Pietzuch 2011 IEEE 27th International Conference on Data Engineering Workshops, 16-21, 2011 | 66 | 2011 |
Exploring zero-training algorithms for occupancy detection based on smart meter measurements V Becker, W Kleiminger Computer Science-Research and Development 33, 25-36, 2018 | 54 | 2018 |
The Comfstat-automatically sensing thermal comfort for smart thermostats L Barrios, W Kleiminger 2017 IEEE International Conference on Pervasive Computing and Communications …, 2017 | 41 | 2017 |
Improving device-level electricity consumption breakdowns in private households using on/off events C Beckel, W Kleiminger, T Staake, S Santini ACM SIGBED Review 9 (3), 32-38, 2012 | 40 | 2012 |
How long are you staying? Predicting residence time from human mobility traces P Baumann, W Kleiminger, S Santini Proceedings of the 19th annual international conference on Mobile computing …, 2013 | 29 | 2013 |
Smart heating control with occupancy prediction: how much can one save? W Kleiminger, S Santini, F Mattern Proceedings of the 2014 acm international joint conference on pervasive and …, 2014 | 27 | 2014 |
Opportunistic sensing for efficient energy usage in private households W Kleiminger, C Beckel, S Santini Proceedings of the Smart Energy Strategies Conference 2011, 2011 | 24 | 2011 |
Stream processing in the cloud W Kleiminger Imperial College of Science, Technology and Medicine Department of Computing …, 2010 | 23 | 2010 |
Estimating the savings potential of occupancy-based heating strategies V Becker, W Kleiminger, VC Coroamă, F Mattern Energy Informatics 1 (Suppl 1), 52, 2018 | 18 | 2018 |
Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households W Kleiminger, C Beckel, A Dey, S Santini Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, 1-2, 2013 | 11 | 2013 |
Simulating the energy savings potential in domestic heating scenarios in Switzerland W Kleiminger, S Santini, F Mattern ETH Zurich, 2014 | 8 | 2014 |
Eco data set (electricity consumption & occupancy) W Kleiminger, C Beckel, S Santini ETH Zürich, 2016 | 6 | 2016 |
Opportunistic sensing for smart heating control in private households W Kleiminger, S Santini, M Weiss Proc. CONET, 2011 | 6 | 2011 |
Smart Residential Energy Systems - How Pervasive Computing can be used to conserve energy M Weiss, W Kleiminger Proceedings of the Smart Energy Strategies Conference 2011, 2011 | 5 | 2011 |
The UbiDCC data set: collecting Wi-Fi and bluetooth scans during a large-scale conference P Baumann, J Klaus, B Richerzhagen, W Kleiminger, S Santini Proceedings of the 1st Workshop on Context Sensing and Activity Recognition …, 2015 | 4 | 2015 |