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    MorphingProjections: Interactive Visualization of Electric Power Demand Time Series

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    Date
    2012
    Author
    Diaz-Blanco, Ignacio
    Dominguez-Gonzalez, Manuel
    Cuadrado-Vega, Abel
    Diez-Gonzalez, Alberto
    Fuertes-Martinez, Juan
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    Abstract
    MorphingProjections is an interactive tool to explore time series of electric power demand in a public building. The core idea of the interface is a smooth continuous transition morphing between several 2D views, each providing a different insight on the data. For power demand analysis three types of encodings were considered: a) manifold learning projections, that result from mapping 24-dim day patterns on 2D points organized according to similarity of demand profile; b) "clock-type encodings" that give insight into daily, weekly and yearly periodicities and c) specific encodings, providing insight into calendar-dependent demand patterns. Morphing allows the user 1) to track interesting points or selections between conceptually different views, and 2) to produce new views by blending basic ones. The combination of morphing and other interaction elements such as zoom, pan and multiple selection, results in a highly dynamic interface that allows the user to link and combine the demand information in ways unseen in previous approaches.
    BibTeX
    @inproceedings {10.2312:PE:EuroVisShort:EuroVisShort2012:121-125,
    booktitle = {EuroVis - Short Papers},
    editor = {Miriah Meyer and Tino Weinkaufs},
    title = {{MorphingProjections: Interactive Visualization of Electric Power Demand Time Series}},
    author = {Diaz-Blanco, Ignacio and Dominguez-Gonzalez, Manuel and Cuadrado-Vega, Abel and Diez-Gonzalez, Alberto and Fuertes-Martinez, Juan},
    year = {2012},
    publisher = {The Eurographics Association},
    ISBN = {978-3-905673-91-3},
    DOI = {10.2312/PE/EuroVisShort/EuroVisShort2012/121-125}
    }
    URI
    http://dx.doi.org/10.2312/PE/EuroVisShort/EuroVisShort2012/121-125
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA