ICT for green: how computers can help us to conserve energy
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Private memoirs of a smart meter
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Increasing energy awareness through web-enabled power outlets
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
I have a DREAM!: differentially private smart metering
IH'11 Proceedings of the 13th international conference on Information hiding
Smart metering de-pseudonymization
Proceedings of the 27th Annual Computer Security Applications Conference
Conditional access smart meter privacy based on multi-resolution wavelet analysis
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Fault-tolerant privacy-preserving statistics
PETS'12 Proceedings of the 12th international conference on Privacy Enhancing Technologies
Multi-appliance recognition system with hybrid SVM/GMM classifier in ubiquitous smart home
Information Sciences: an International Journal
Privacy-friendly tasking and trading of energy in smart grids
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Privacy-preserving smart metering with regional statistics and personal enquiry services
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
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A load signature is an electrical expression that a load device or appliance distinctly possesses. Load signatures can be applied to produce many useful services and products, such as, determining the energy usage of individual appliances, monitoring the health of critical equipment, monitoring power quality, and developing facility management tools. Load signatures of typical yet extensive loads are needed to be collected before applying them to different services and products. As there are an enormous number of electrical appliances, it is beneficial to classify the appliances for building a well-organized load signature database. The objective of this study is to develop an effective method to classify the loads. A 2-dimensional form of load signatures, voltage-current (V-l) trajectory, is suggested for characterizing the typical household appliances.Hierarchical clustering method was employed to classify the appliances and construct the taxonomy of the appliances. The taxonomy based on V-l trajectory was compared to the taxonomies based on traditional power metrics and eigenvectors in the previous studies. It was found that the groups of appliances in the taxonomy based on V-I trajectory were well-separated and had engineering meanings .