File Download

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.contributor.advisor Woo, Han-Gyun -
dc.contributor.author SEO, SUNG HYUN -
dc.date.accessioned 2024-06-07T14:45:02Z -
dc.date.available 2024-06-07T14:45:02Z -
dc.date.issued 2021-02 -
dc.description.degree Master -
dc.description Graduate School of Technology and Innovation Management Technology and Innovation Management -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/82935 -
dc.identifier.uri http://unist.dcollection.net/common/orgView/200000374566 -
dc.language eng -
dc.publisher Ulsan National Institute of Science and Technology (UNIST) -
dc.rights.embargoReleaseDate 9999-12-31 -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject LNG, ARIMAX, VECM, LSTM, ARIMAX-LSTM, VECM-LSTM -
dc.title Forecasting Korean LNG import price using ARIMAX, VECM, LSTM and hybrid models -
dc.type Thesis -

qrcode

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