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undergraduate thesis
Predviđanje potrošnje u EES-u sustavom Nostradamus
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. urn:nbn:hr:200:419855
Zadro, Lui
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Electromagnetic Compatibility Laboratory

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Zadro, L. (2019). Predviđanje potrošnje u EES-u sustavom Nostradamus (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:419855

Zadro, Lui. "Predviđanje potrošnje u EES-u sustavom Nostradamus." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:419855

Zadro, Lui. "Predviđanje potrošnje u EES-u sustavom Nostradamus." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:419855

Zadro, L. (2019). 'Predviđanje potrošnje u EES-u sustavom Nostradamus', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:419855

Zadro L. Predviđanje potrošnje u EES-u sustavom Nostradamus [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:200:419855

L. Zadro, "Predviđanje potrošnje u EES-u sustavom Nostradamus", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:419855

Metadata
TitlePredviđanje potrošnje u EES-u sustavom Nostradamus
Title (english)Power system consumption prediction with Nostradamus
AuthorLui Zadro
MentorZorislav Kraus (mentor)
Committee memberKrešimir Miklošević (predsjednik povjerenstva)
Committee memberZorislav Kraus (član povjerenstva)
Committee memberŽeljko Špoljarić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Power Engineering)
(Electromagnetic Compatibility Laboratory)
Osijek
Defense date and country2019-03-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Nostradamus je aplikacija za predviđanje opterećenja elektroenergetskog sustava. To je neuronska mreža razvijena kao sustav za predviđanje varijabli (potrošnje, cijena) za energetske i plinske sustave. Omogućuje korisnicima širok spektar prognoze na jednostavan i brz način. Ne zahtijeva od korisnika prethodno iskustvo i znanje o neuronskim mrežama.Za prognozu opterećenja potrebni su povijesni podaci o opterećenju i meteorološki podaci (preporuka su podaci za tri godine kako bi se kreirao pouzdan model). Primjena: medicina, bankarstvo, elektrotehnika, strojarstvo, obrada signala, financije i procjena rizika.
Abstract (english)
Nostradamus is an application that's being used for predicting the load of the power system. It is a neural network developed as a system for predicting variables (consumption, price) for energy and gas systems. It allows users a vast range of forecasts in a simple and fast way. It doesn't require users prior experience and knowledge about neural networks. For the load forecast, historical load data and meteorological data are required (three year data is recommended to create a reliable model). Application: medicine, banking, electrical engineering, mechanical engineering, signal processing, finance and risk assessment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:419855
Study programmeTitle: Professional study programme of Electrical Engineering; specializations in: Power Engineering, Automation, Informatics
Course: Power Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-03-29 15:49:50