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Graph-Based Optimization of Public Lighting Retrofit

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Book cover Intelligent Information and Database Systems (ACIIDS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12033))

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Abstract

Modernization of public lighting (also referred to as a retrofit) such as replacing high-pressure sodium lamps with LED ones, burdens the budgets of municipalities. For that reason such investments are usually made in phases, spanned over a period of several years, which scopes are determined by financial resources. It should be remarked that selection of lamps for modernization is based on various criteria such as lamp aging, power efficiency of an installation but also some high-level objectives such as a payback period of an investment. In this work we propose the scalable computational, graph-based approach which enables optimizing lamp modernization schedule, towards reduced payback time. The presented results are based on analysis of real-life data of nearly 10,000 streetlights.

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Author information

Authors and Affiliations

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

    Adam Sędziwy & Leszek Kotulski

Authors
  1. Adam Sędziwy
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  2. Leszek Kotulski
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Corresponding author

Correspondence to Leszek Kotulski .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Kietikul Jearanaitanakij

  3. Faculty of Computer Science and Information, University Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  4. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Suphamit Chittayasothorn

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Sędziwy, A., Kotulski, L. (2020). Graph-Based Optimization of Public Lighting Retrofit. In: Nguyen, N., Jearanaitanakij, K., Selamat, A., Trawiński, B., Chittayasothorn, S. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Lecture Notes in Computer Science(), vol 12033. Springer, Cham. https://doi.org/10.1007/978-3-030-41964-6_21

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  • DOI: https://doi.org/10.1007/978-3-030-41964-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41963-9

  • Online ISBN: 978-3-030-41964-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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