Napredno upravljanje gradskom rasvjetom

master's thesis

• Title (english): Advanced city lighting control
• Author: Josip Jerolim Banović
• Mentor: Vinko Lešić (mentor)
• Committee member: Vinko Lešić (član povjerenstva)
• Committee member: Mario Vašak (član povjerenstva)
• Committee member: Branimir Novoselnik (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Javna gradska rasvjeta čini u prosjeku 40% gradskog proračuna za energiju. Implementacija naprednih algoritama upravljanja pruža priliku za značajne uštede. U radu je izrađen model rasvjete i istraženi su napredni modeli upravljanja gradskom rasvjetom. Korištenjem strojnog učenja, izrađen je algoritam optimalnog upravljanja te je potvrđen njegov rad u simulacijskom okruženju.

Abstract (english)

City lighting on average makes up to 40% of energy budget in modern cities. Implementation of advanced control algorithms offers a great opportunity to reduce costs. In this paper, street light model was built and analysed. Using machine learning, an optimal control algorithm was developed and its operation was confirmed in a simulation environment.

• Keywords: Smart City; Strojno učenje; LED; upravljanje rasvjetom
• Keywords (english): Smart City; Machine learning; LED; Lighting control
• Language: croatian
• URN:NBN: urn:nbn:hr:168:899100
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 14:27:17