1. CMU Intellectual Repository
  2. Graduate School (Theses/IS)
  3. Sciences and Technology
  4. ENG: Theses
Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/27202
Full metadata record
DC FieldValueLanguage
dc.contributor.authorViengthong Sackdaraen_US
dc.date.accessioned2014-09-18T09:10:09Z-
dc.date.available2014-09-18T09:10:09Z-
dc.date.issued2010en_US
dc.identifier.govdocTh 621.3121 V662Een_US
dc.identifier.urihttp://search.lib.cmu.ac.th/search/?searchtype=.&searcharg=b1493079en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/handle/6653943832/27202-
dc.language.isoengen_US
dc.publisherChiang mai : Graduate School, Chiang Mai University, 2010en_US
dc.subjectElectricity -- Laosen_US
dc.subjectArtificial Neural Networken_US
dc.titleElectricity demand forecasting of Electricite Du Lao Using Artificial Neural Network = การพยากรณ์ความต้องการใช้ไฟฟ้าของรัฐวิสาหกิจไฟฟ้าลาว โดยใช้โครงข่ายประสาทเทียม / Viengthong Sackdaraen_US
dc.typeThesisen_US
Appears in Collections:ENG: Theses

Files in This Item:
File Description SizeFormat 
enel1010vs_tpg.pdf537.07 kBAdobe PDFView/Open    Request a copy
enel1010vs_abs.pdf451.17 kBAdobe PDFView/Open
enel1010vs_con.pdf449.29 kBAdobe PDFView/Open    Request a copy
enel1010vs_ch1.pdf659.53 kBAdobe PDFView/Open    Request a copy
enel1010vs_ch2.pdf494.54 kBAdobe PDFView/Open    Request a copy
enel1010vs_ch3.pdf835.33 kBAdobe PDFView/Open    Request a copy
enel1010vs_ch4.pdf530.55 kBAdobe PDFView/Open    Request a copy
enel1010vs_ch5.pdf580.33 kBAdobe PDFView/Open    Request a copy
enel1010vs_ch6.pdf436.82 kBAdobe PDFView/Open    Request a copy
enel1010vs_bib.pdf438.43 kBAdobe PDFView/Open    Request a copy
enel1010vs_app.pdf496.34 kBAdobe PDFView/Open    Request a copy
Show simple item record


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