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Short term electricity price forecasting using CatBoost and bidirectional long short term memory neural network
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2018 (English)Report (Other (popular science, discussion, etc.))
Place, publisher, year, edition, pages
2018. , p. 37
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-28693OAI: oai:DiVA.org:du-28693DiVA, id: diva2:1255430
Available from: 2018-10-12 Created: 2018-10-12 Last updated: 2018-12-17Bibliographically approved

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fulltext(1460 kB)77 downloads
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File name FULLTEXT01.pdfFile size 1460 kBChecksum SHA-512
b6a835a23dc4c82cdb4fc3f571d787a755f1852f421eb4b7b77addacb86f77df0ca28167abc6f66e91401c7a65cdab6a3bb946f0b1b116314700eca96cf0bb80
Type fulltextMimetype application/pdf

Authority records BETA

Zhang, FanFleyeh, Hasan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
  • html
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  • asciidoc
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