The design of a hardware-software platform for long-term energy eco-feedback research
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Improving device-level electricity consumption breakdowns in private households using ON/OFF events
ACM SIGBED Review - Special Issue on the 3rd International Workshop on Networks of Cooperating Objects (CONET 2012)
Understanding domestic energy consumption through interactive visualisation: a field study
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Evaluating semi-automatic annotation of domestic energy consumption as a memory aid
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Evolving non-intrusive load monitoring
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
EvoNILM: evolutionary appliance detection for miscellaneous household appliances
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Perpetual and low-cost power meter for monitoring residential and industrial appliances
Proceedings of the Conference on Design, Automation and Test in Europe
How to auto-configure your smart home?: high-resolution power measurements to the rescue
Proceedings of the fourth international conference on Future energy systems
Applied Computational Intelligence and Soft Computing
Bayesian nonparametric hidden semi-Markov models
The Journal of Machine Learning Research
A novel feature extraction method for nonintrusive appliance load monitoring
Applied Computational Intelligence and Soft Computing
Occupancy Detection from Electricity Consumption Data
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
| Hi-index | 0.43 |
Consumer systems for home energy management can provide significant energy saving. Such systems may be based on nonintrusive appliance load monitoring (NIALM), in which individual appliance power consumption information is disaggregated from single-point measurements. The disaggregation methods constitute the most important part of NIALM systems. This paper reviews the methodology of consumer systems for NIALM in residential buildings.