Szczegóły publikacji
Opis bibliograficzny
Graph-based optimization of public lighting retrofit / Adam SĘDZIWY, Leszek KOTULSKI // W: Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020 : Phuket, Thailand, March 23–26, 2020 : proceedings, Pt. 1 / eds. Ngoc Thanh Nguyen, [et al.]. — Cham : Springer, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12033. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-030-41963-9; e-ISBN: 978-3-030-41964-6. — S. 239–248. — Bibliogr. s. 247–248, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 128248 |
|---|---|
| Data dodania do BaDAP | 2020-04-06 |
| DOI | 10.1007/978-3-030-41964-6_21 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | Asian Conference on Intelligent Information and Database Systems 2020 |
| Czasopismo/seria | Lecture Notes in Computer Science |
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. © 2020, Springer Nature Switzerland AG.
