Energy Disaggregation Using Elastic Matching Algorithms

Algorithms for Energy Disaggregation

Occupancy-aided energy disaggregation

Energy disaggregation helps to identify major energy guzzlers in the house without introducing extra metering cost. It motivates users to take proper actions for energy saving and facilitates demand response programs. To reduce the computational complexity of pure energy disaggregation, we propose an occupancyaided energy disaggregation (OAED) approach in this paper. Specifically, we make use o...

Expression Recognition Using Elastic Graph Matching

In this paper, we proposed a facial expression recognition method based on the elastic graph matching (EGM) approach.The EGM approach is widely considered very effective due to it’s robustness against face position and lighting variations. Among all the feature extraction methods which have been used with the EGM, we choose Gabor wavelet transform according to its good performance. In order to ...

Elastic Matching Using a Deformation Sphere

A novel method is proposed for elastic matching of two data volumes. A combination of mutual information, gradient information and smoothness of transformation is used to guide the deformation of another of the volumes. The deformation is accomplished in a multiresolution process by spheres containing a vector field. Position and radius of the spheres are varied. The feasibility of the method i...

Supervised energy disaggregation using dictionary - based modelling of appliance states

In this paper, a supervised energy disaggregation method is proposed. The appliances to be monitored, are modelled by multi-state finite state machines. Each state of an appliance is described by exactly one vector of power consumptions from a carefully designed set of such vectors (called atoms), that comprise a dictionary. The latter is constructed during a training phase, where it is assumed...