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Street Lighting Control, Energy Consumption Optimization

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Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10246))

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Abstract

Using a graph formalism to model outdoor lighting infrastructure has proven to be an efficient method for both design and control. It has been tested not only on laboratory scale, but also in a city-scale deployment. The paper proposes further energy usage optimization if the streetlights are dynamically controlled. It is to alter the design process taking into account influence of the control schemas. As a result substantial energy consumption savings can be achieved. The introduced optimization is also modeled with graphs and graph transformations.

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References

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Author information

Authors and Affiliations

  1. Department of Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland

    Igor Wojnicki & Leszek Kotulski

Authors
  1. Igor Wojnicki
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  2. Leszek Kotulski
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Corresponding author

Correspondence to Igor Wojnicki .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Wojnicki, I., Kotulski, L. (2017). Street Lighting Control, Energy Consumption Optimization. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_32

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  • DOI: https://doi.org/10.1007/978-3-319-59060-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59059-2

  • Online ISBN: 978-3-319-59060-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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