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dc.contributor.authorPalapati, Suresh
dc.contributor.authorArdekani, Iman
dc.contributor.authorBahadornejad, Momen
dc.description.abstractOBJECTIVE: • To come up with good forecast model for Wind Power Generation for hour and day ahead . • As NZ is looking at increasing the share of wind power from 5% towards 20%. • The increase towards 20% will cause problems for grid and electricity market, due to its variable nature. • Good forecasting model is very important to address above issues and enable to operate more efficiently [17]. • The prices for electricity also depend on the wind power share, as forecasted wind power will be major factor. • Help to reduce the use of hydro power and keep water for use when there is no wind [11]en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectNew Zealanden_NZ
dc.subjectwind poweren_NZ
dc.subjectwind energy predictionen_NZ
dc.subjectliterature reviewsen_NZ
dc.subjectrenewable energyen_NZ
dc.titleMultiscale wind power generation predictionen_NZ
dc.typeConference Contribution - Oral Presentationen_NZ
dc.subject.marsden090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)en_NZ
dc.identifier.bibliographicCitationPalapati, S., Ardekani, I., & Bahadornejad, M. (2020, Oct). Multiscale wind power generation prediction. Paper presented at the Unitec Research Symposium, Mount Albert Campus, Unitec.en_NZ
unitec.publication.titleUnitec Research Symposium 2020en_NZ
unitec.conference.titleUnitec Research Symposium 2020en_NZ
unitec.conference.orgUnitec Institute of Technologyen_NZ
unitec.conference.locationMount Albert, Auckland, New Zealanden_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
unitec.institution.studyareaConstruction + Engineeringen_NZ

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