Implementation of smart grid provides an opportunity for concurrent implementation of nonintrusive appliance load monitoring (NIALM), which disaggregates the total household electricity data into data on individual appliances. This paper introduces a new disaggregation algorithm for NIALM based on a modified Viterbi algorithm. This modification takes… (More)
* Supported in part by US DOE through a subcontract with Lawrence Berkley National Laboratory (LBNL). We are grateful to Rich Brown of LBNL for helpful discussions.
A two-stage computational model of evolution of a plume generated by laser ablation of an organic solid is proposed and developed. The first stage of the laser ablation, which involves laser coupling to the target and ejection of molecules and clusters, is described by the molecular dynamics ͑MD͒ method. The second stage of a long-term expansion of the… (More)
We consider the problem of overlap in the power draw between different appliances in nonintrusive load monitoring. We complement the power features by time-on and time-off statistics and use approximate semi-Markov models for robust computationally-efficient disaggregation. The superior disaggregation accuracy of our algorithm is demonstrated on actual… (More)
The direct simulation Monte Carlo (DSMC) method is one of the most popular numerical methods used to model rarefied gas environment flows. In order to predict the accuracy of a solution obtained by the DSMC method we have to be able to estimate its accuracy. In the work presented here we have developed a technique to estimate the numerical accuracy of the… (More)
Modeling of phenomena is increasingly being used to obtain an understanding of important physical events as well as to predict properties that can be directly tied to experimental data. For systems with relatively low densities of particles, the Direct Simulation Monte Carlo (DSMC) method is well suited for modeling gases with non-equilibrium distributions,… (More)