Wilke, Gwendolin

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Wilke
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Gwendolin
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Wilke, Gwendolin

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Autor:in: Wilke, Gwendolin × Enddatum: 2018 × Anfangsdatum: 2018 ×

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  • Vorschaubild
    Publikation
    A market-based smart grid approach to increasing power grid capacity without physical grid expansion
    (Springer, 01.02.2018) Bagemihl, Joachim; Boesner, Frank; Riesinger, Jens; Künzli, Michael; Wilke, Gwendolin; Binder, Gabriela; Wache, Holger; Laager, Daniel; Breit, Jürgen; Wurzinger, Michael; Zapata, Juliana; Ulli-Beer, Silvia; Layec, Vincent; Stadler, Thomas; Stabauer, Franz [in: Computer Science - Research and Development]
    The continuous increase of competitiveness of renewable energy in combination with the necessity of fossil fuel substitution leads to further electrification of the global energy system and therefore a need for large-scale power grid capacity increase. While physical grid expansion is not feasible for many countries, grid-driven energy management in the Smart Grid often interferes in customer processes and free access to the energy market. The paper solves this dilemma by proposing a market-based load schedule management approach that increases power grid capacity without physical grid expansion. This is achieved by allocating for a certain class of non-critical flexible loads called “conditional loads” the currently unused grid capacity dedicated to ensuring N−1 security of supply whereas this security level remains untouched for all critical processes. The paper discusses the necessary processes and technical and operational requirements to operate such a system.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Revenue optimization of telecom marketing campaigns for prepaid customers
    (International Academy, Research, and Industry Association (IARIA), 2018) Riedweg, Maurus; Svaba, Pavol; Wilke, Gwendolin; Marchildon, Philippe; Hammad, Rawad [in: BUSTECH 2018 : The Eighth International Conference on Business Intelligence and Technology]
    The design and optimization of marketing campaigns today usually still includes a high level of manual expert in- volvement. This applies particularly to the prepaid mobile phone sector of the highly competitive telecommunication industry. Since prepaid telecom customers are characterized by highly volatile and sparse usage data their future behavior is hard to predict, and marketers often rely mainly on experience and gut feeling when designing marketing campaigns, using only simple data analysis tools. The project developed a methodology and software prototype that helps marketers in this area to exploit the full potential of real-time big data-driven analytics for microtargeting, allowing them to make fact-based and informed decisions. Specifically, it provides an interactive solution for the semi-automated visual support of the design and optimization of single-channel marketing campaigns. The developed solutions brings a huge step towards the automation of the whole process of optimizing marketing campai
    04B - Beitrag Konferenzschrift