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undergraduate thesis
Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:422478
Perković, Ante
University of Zagreb
Faculty of Electrical Engineering and Computing

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Perković, A. (2022). Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:422478

Perković, Ante. "Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:422478

Perković, Ante. "Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:422478

Perković, A. (2022). 'Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:422478

Perković A. Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:422478

A. Perković, "Inteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:422478

Metadata
TitleInteligentni uređaj za neinvazivnu detekciju otvorenosti prozora i savjetovanje korisnika
Title (english)Intelligent device for a non-invasive detection of window opening and end-user advising
AuthorAnte Perković
MentorMario Vašak (mentor)
Committee memberMario Vašak (član povjerenstva)
Committee memberDanko Marušić (član povjerenstva)
Committee memberHrvoje Novak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-08-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U svijetu koji se sve više bavi zelenom tranzicijom u svrhu sprječavanja klimatskih promjena, veliki fokus se stavlja na štednju energije. Znamo da se značajan postotak energije troši na hlađenje i grijanje prostorija u kojima boravimo i nužno je minimizirati nepotrebne troškove gdje je to moguće kako bismo smanjili opterećenje na infrastrukturu, a i okoliš. U ovom radu proučavamo pristupačan način uštede energije za postojeće građevine, pomoću pametnog termostata. Koristeći se strojnim učenjem i raznim senzorima pokušavamo neinvazivno predvidjeti stanje otvorenosti prozora kako bismo mogli upozoriti korisnika ukoliko je klima upaljena da zatvori prozor ili ugasi klimu. Model se naposlijetku pokazao neuspješnim ali daje puno korisnih informacija za daljnji razvitak.
Abstract (english)
In a world that is increasingly concerned with the green transition to prevent climate change, great emphasis is being placed on saving energy. We know that a significant percentage of energy is spent on cooling and heating the rooms in which we reside and it is necessary to minimize unnecessary costs where possible to reduce the burden on infrastructure and the environment. In this paper, we study an affordable way to save energy for existing buildings, using a smart thermostat. Using machine learning and various sensors, we try to non-invasively predict the state of window openness so that we can warn the user if the air conditioning is on to close the window or turn off the air conditioning. The model eventually proved unsuccessful but provides a lot of useful information for further development.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:422478
Study programmeTitle: 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 resourceText
File originBorn digital
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Created on2023-01-15 11:01:53