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020 _a9783031486524
_9978-3-031-48652-4
024 7 _a10.1007/978-3-031-48652-4
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM005000
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072 7 _aUX
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082 0 4 _a005.3
_223
245 1 0 _aEnergy Informatics
_h[electronic resource] :
_bThird Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part II /
_cedited by Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVI, 340 p. 153 illus., 142 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14468
505 0 _aAI Methods in Energy -- Data-Driven Smart Buildings -- Energy and Industry 4.0 -- Energy and Smart Cities -- Energy Forecasting -- Smart Electricity System -- Smart Energy Device Management -- Smart Heating and cooling System. .
520 _aThis two-volume set LNCS 14467-14468 constitutes the proceedings of the First Energy Informatics Academy Conference, EI.A 2023,held in Campinas, Brazil, in December 2023. The 39 full papers together with 8 short papers included in these volumes were carefully reviewed and selected from 53 submissions. The conference focuses on the application of digital technology and information management to facilitate the global transition towards sustainable and resilient energy systems.
650 0 _aApplication software.
650 1 4 _aComputer and Information Systems Applications.
700 1 _aJørgensen, Bo Nørregaard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _ada Silva, Luiz Carlos Pereira.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMa, Zheng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031486517
776 0 8 _iPrinted edition:
_z9783031486531
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14468
856 4 0 _uhttps://doi.org/10.1007/978-3-031-48652-4
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912 _aZDB-2-SXCS
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