Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

최소자승몬테카를로 시뮬레이션을 이용한 풍력발전설비 투자계획

Full metadata record
DC Field Value Language
dc.contributor.author김진아-
dc.contributor.author이종욱-
dc.contributor.author이재희-
dc.contributor.author주성관-
dc.date.accessioned2021-09-07T19:27:21Z-
dc.date.available2021-09-07T19:27:21Z-
dc.date.created2021-06-17-
dc.date.issued2011-
dc.identifier.issn1975-8359-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/114356-
dc.description.abstractThe economic value of a wind farm project is influenced by various risk factors such as wind power output and electricity market price. In particular, there is uncertainty in the economic evaluation of a wind farm project due to uncertain wind power outputs, which are fluctuated by weather factors such as wind speed, and volatile electricity market prices. This paper presents a systematic method to assess the economic value and payback period of a wind farm project using Least Square Monte-Carlo (LSMC) simulation. Numerical example is presented to validate the effectiveness of the proposed economic assessment method for a wind farm project.-
dc.languageKorean-
dc.language.isoko-
dc.publisher대한전기학회-
dc.title최소자승몬테카를로 시뮬레이션을 이용한 풍력발전설비 투자계획-
dc.title.alternativeEconomic Assessment of a Wind Farm Project Using Least Square Monte-Carlo (LSMC) Simulation-
dc.typeArticle-
dc.contributor.affiliatedAuthor주성관-
dc.identifier.bibliographicCitation전기학회논문지, v.60, no.1, pp.32 - 35-
dc.relation.isPartOf전기학회논문지-
dc.citation.title전기학회논문지-
dc.citation.volume60-
dc.citation.number1-
dc.citation.startPage32-
dc.citation.endPage35-
dc.type.rimsART-
dc.identifier.kciidART001514841-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorWind farm investment-
dc.subject.keywordAuthorRisk factor-
dc.subject.keywordAuthorLSMC (Least Square Monte-Carlo)-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Joo, Sung Kwan photo

Joo, Sung Kwan
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE