prikaz prve stranice dokumenta Forecasting methods applied to wind energy assessment
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undergraduate thesis
Forecasting methods applied to wind energy assessment
2017. urn:nbn:hr:166:082708
Tojčić, Iva
University of Split
University of Split, Faculty of science
Department of Physics

Cite this document

Tojčić, I. (2017). Forecasting methods applied to wind energy assessment (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:082708

Tojčić, Iva. "Forecasting methods applied to wind energy assessment." Undergraduate thesis, University of Split, University of Split, Faculty of science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:082708

Tojčić, Iva. "Forecasting methods applied to wind energy assessment." Undergraduate thesis, University of Split, University of Split, Faculty of science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:082708

Tojčić, I. (2017). 'Forecasting methods applied to wind energy assessment', Undergraduate thesis, University of Split, University of Split, Faculty of science, accessed 26 May 2022, https://urn.nsk.hr/urn:nbn:hr:166:082708

Tojčić I. Forecasting methods applied to wind energy assessment [Undergraduate thesis]. Split: University of Split, University of Split, Faculty of science; 2017 [cited 2022 May 26] Available at: https://urn.nsk.hr/urn:nbn:hr:166:082708

I. Tojčić, "Forecasting methods applied to wind energy assessment", Undergraduate thesis, University of Split, University of Split, Faculty of science, Split, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:166:082708

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Metadata
TitleForecasting methods applied to wind energy assessment
Title (croatian)Metode prognoza u primjeni na procjenu energije vjetra
AuthorIva Tojčić
MentorDarko Koračin (mentor)
Committee memberDarko Koračin (predsjednik povjerenstva)
Committee memberLarisa Zoranić (član povjerenstva)
Committee memberŽeljka Sanader (član povjerenstva)
GranterUniversity of Split
University of Split, Faculty of science
(Department of Physics)
Split
Defense date and country2017-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geophysics
Abstract
The biggest challenge in integrating wind power into the electric grid is wind's unpredictability and intermittency. In this work, important wind characteristics are presented and the connection between wind speed and wind power farm output power is explained. An overview of the forecasting methods used in wind speed and wind power prediction is given, with the emphasis on their variety. Various wind forecasting methods are discussed including simple persistence technique, statistical methods, hybrid approaches, and complex numerical forecasts.
Abstract (croatian)
Najveći izazov pri integriranju energije dobivene iz vjetra u električnu mrežu čini nepredvidivost i interminentnost vjetra. U ovom radu prezentirane su važne karakteristike vjetra i objašnjena je veza između brzine vjetra i energije proizvedene u vjetroelektrani. Dan je pregled metoda korištenih u prognoziranju brzina vjetra i predviđanju proizvodnje energije, s naglaskom na njihovu raznolikost. Predstavljene su metode persistencije, statističke metode, hibridni pristup te metode složenih numeričkih prognoza.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:166:082708
Study programmeTitle: Physics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-03-08 17:25:32