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This paper proposes a computationally efficient technique for estimating the composite load model parameters based on analytical similarity of parameter sensitivity. When the model parameters are updated in the optimization procedure to best fit the actual load dynamics, i.e., measurements, parameters of similar sensitivity representation in the given mathematical model structure are updated in the...
Load identification is an important issue in power system representations to ensure that simulations will reproduce the dynamic response of a system during a disturbance. For a load model to be accurate, its parameter must be appropriately estimated by a parameter fitness algorithm. The success of the estimation depends mainly on the availability of a good initial parameter guess. If it is not available,...
In this paper, we study bandwidth management of a wireless/optical based access/metro network in support of voice and data services. For voice services, we use a finite state Markov Chain to estimate the blocking probability of voice circuits over an Adaptive modulation and coding wireless channel, as a function of the channel parameters. For data services, we evaluate a rate matching and a buffer...
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