Artículos de conferencia

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Browsing Artículos de conferencia by Subject "09 Industria, innovación e infraestructura"

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    Benchmark regulation and efficiency of electricity distribution in a restructured power sector
    (IEEE, 2004) Rudnick van de Wyngard, Hugh, 1947-; Sanhueza Hormazabal, Raúl Edgardo
    A growing challenge in the restructuring of the electrical sector, where competition is introduced in the generation area, is to achieve equivalent efficiencies in the electrical distribution service, an activity that develops in a monopolistic environment. This summary discusses this challenge and the regulatory methodologies under application and/or evaluation that try to take to that efficiency improvement. The complementary presentation will give an overview of such tariff regulations and world-wide experiences. Special emphasis will be given to the concepts of model companies and distribution added value and their application in Latin America.
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    Combining inconsistent data
    (IEEE, 2007) Lira Canguilhem, Ignacio
    At present, the most widely used procedure for finding the value of a quantity from data obtained by different observers involves calculating the inverse-variance weighted mean of the observers' estimates. This method produces reasonable results if the data are consistent. However, in many cases a consistency test reveals the possible existence of outliers that nevertheless have to be included in the evaluation task. In this paper the Bayesian understanding of probability is used to treat this problem. It is first shown that the weighted mean method results from the assumption that the observers' biases are identically zero. If the data do not support this assumption, other evaluation methods are needed. Three such methods are then derived, application of which is discussed through a simulated example.
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    DiaBloS: Diagrams of Blocks for Systems Modeling and Simulation in Python
    (2024) Torres Torriti, Miguel Attilio; Rojas Sepulveda, Matias Nicolas Alejandro
    The development of tools for diagrammatic visual programming based on block diagrams for systems modeling and simulation can be traced back to work carried out in research centers and universities more than seven decades ago. Some tools have become de facto industry standards and use proprietary algorithms. The academic research literature and patents offer a plethora of ideas, combining graph theory, numerical integration methods, and visual process representations that have led to different paradigms, such as data flow diagrams, signal flow graphs, bond graphs for systems modeling and simulation. However, formal description of algorithms for processing block diagrams and simulating system models cannot be found in the existing literature. On the other hand, no open-source tool for graphically building block diagrams and model systems in Python has been available thus far. Therefore, we present DiaBloS, a tool for graphical modeling and simulation of dynamical systems in Python. The proposed algorithm to automatically identify the execution order of blocks in the diagram is discussed. Simulation examples show that the numerical accuracy is on par to that of commercial tools. DiaBloS may satisfy educational purposes and contribute to the understanding of algorithms for processing block diagrams, which fall into the domain of multigraphs. Block diagram representations provide a computing paradigm that is regaining attention because of its applications to asynchronous distributed computing, especially in artificial intelligence for training large deep learning models, and the simulation of large complex systems as the combination of several blocks of subsystems.