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International Conference on Computer Aided Systems Theory

EUROCAST 2019: Computer Aided Systems Theory – EUROCAST 2019 pp 59–66Cite as

Automated Load Classification in Smart Micro-grid Systems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12013))

Abstract

The ever evolving idea of smart grid substantially relies on the usage of renewable energies. The latter, however, have to cope with a variety of problems. E.g., the production of renewable energies like photovoltaic and wind energy depends on the weather, leading to a time varying energy output. Additionally, it is a complex task to save surplus energy. If the geographical position allows the installation of a power station using a reservoir or similar, the problem can be solved easily. However, in most cases this is not possible. Concepts have to be developed fulfilling this task.

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Author information

Authors and Affiliations

  1. University of Applied Sciences Upper Austria, 4600, Wels, Austria

    Thomas Schlechter

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  1. Thomas Schlechter
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Correspondence to Thomas Schlechter .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Schlechter, T. (2020). Automated Load Classification in Smart Micro-grid Systems. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12013. Springer, Cham. https://doi.org/10.1007/978-3-030-45093-9_8

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  • DOI: https://doi.org/10.1007/978-3-030-45093-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45092-2

  • Online ISBN: 978-3-030-45093-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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