Szczegóły publikacji
Opis bibliograficzny
Street lighting control, energy consumption optimization / Igor WOJNICKI, Leszek KOTULSKI // W: Artificial Intelligence and Soft Computing : 16th International Conference : ICAISC 2017 Zakopane, Poland, June 11–15, 2017 : proceedings, Pt. 2 / eds. Leszek Rutkowski, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 10246). — Toż na Dysku Flash. — ISBN: 978-3-319-59059-2; e-ISBN: 978-3-319-59060-8. — S. 357–364. — Bibliogr. s. 364, Abstr.
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 106581 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| DOI | 10.1007/978-3-319-59060-8_32 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp | |
| Wydawca | Springer |
| Konferencja | International Conference on Artificial Intelligence and Soft Computing 2017 |
| Czasopismo/seria | Lecture Notes in Computer Science |
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.