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dc.contributor.authorChuang, Feng-Kuangen_US
dc.contributor.authorHung, Chih-Youngen_US
dc.contributor.authorChang, Chi-Yaen_US
dc.contributor.authorKuo, Kuo-Chengen_US
dc.date.accessioned2019-04-02T06:00:55Z-
dc.date.available2019-04-02T06:00:55Z-
dc.date.issued2013-04-01en_US
dc.identifier.issn1081-5589en_US
dc.identifier.urihttp://hdl.handle.net/11536/147651-
dc.language.isoen_USen_US
dc.titleDEPLOYING ARIMA AND ARTIFICIAL NEURAL NETWORKS MODELS TO PREDICT ENERGY CONSUMPTION IN TAIWANen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF INVESTIGATIVE MEDICINEen_US
dc.citation.volume61en_US
dc.citation.issueSen_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000319477600101en_US
dc.citation.woscount0en_US
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