Aplikacija za prediktivni nadzor naprednih zgrada

undergraduate thesis

• Title (english): Application for predictive monitoring of smart buildings
• Author: Vinko Brkić
• Mentor: Vinko Lešić (mentor)
• Committee member: Vinko Lešić (član povjerenstva)
• Committee member: Filip Vrbanc (član povjerenstva)
• Committee member: Mihael Jakšić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu razvijena je Web aplikacija za prediktivni nadzor naprednih zgrada, s ciljem optimizacije energetske bilance putem korištenja obnovljivih izvora energije. Instaliranjem fotonaponskih panela na krovove rezidencijalnih zgrada, omogućeno je praćenje i analiza distribucije solarne energije. Aplikacija prikuplja podatke o proizvodnji i potrošnji energije panela spremajući ih u PostgreSQL bazu podataka i vizualizira ih putem web sučelja izrađenog u programskom okviru Native. Prikazani grafički i statistički podaci uključuju povijesne trendove potrošnje energije različitih uređaja u zgradi, ukupnu proizvodnju, pohranu i potrošnju energije kroz odabrani period te buduće vanjske vremenske uvjete. Dodatno, aplikacija pruža prediktivnu analitiku koristeći višestruku linearnu regresiju za analizu te procjenu budućih varijabli s ciljem optimalne prodaje proizvedenog viška energije.

Abstract (english)

In this project, a web application for predictive monitoring of advanced buildings was developed, aiming to optimize the energy balance through the use of renewable energy sources. By installing photovoltaic panels on the roofs of residential buildings, it enables the monitoring and analysis of solar energy distribution. The application collects data on the production and consumption of energy from the panels, storing it in a PostgreSQL database, and visualizes it through a web interface built with the Native framework. The displayed graphical and statistical data include historical trends of energy consumption by different devices in the building, total production, storage, and consumption of energy over a selected period, as well as future external weather conditions. Additionally, the application provides predictive analytics using multiple linear regression to analyze and estimate future variables with the aim of optimizing the sale of surplus energy produced.

• Keywords: prediktivni nadzor; napredne zgrade; obnovljivi izvori energije; fotonaponski paneli; višestruka linearna regresija; web sučelje; prediktivna analitika
• Keywords (english): predictive monitoring; advanced buildings; renewable energy sources; photovoltaic panels; multiple linear regression; web interface; predictive analytics
• Language: croatian
• URN:NBN: urn:nbn:hr:168:300834
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-10-12 20:12:16