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001 9781003104445
003 FlBoTFG
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006 m o d
007 cr |||||||||||
008 210121s2021 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003104445
_q(ebk)
020 _a1003104444
020 _a9781000392487
_q(electronic bk. : EPUB)
020 _a1000392481
_q(electronic bk. : EPUB)
020 _a9781000392456
_q(electronic bk. : PDF)
020 _a1000392457
_q(electronic bk. : PDF)
020 _z9780367610920
_q(hbk)
035 _a(OCoLC)1236896639
035 _a(OCoLC-P)1236896639
050 0 0 _aTJ808
072 7 _aTEC
_x008000
_2bisacsh
072 7 _aTHR
_2bicssc
082 0 0 _a621.0420285/63
_223
245 0 0 _aIntroduction to AI techniques for renewable energy system /
_cedited by Suman Lata Tripathi, Mithilesh Kumar Dubey, Vinay Rishiwal, Sanjeevikumar Padmanaban.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 2 _aArtificial intelligence : a new era in renewable energy systems / Kandra Prameela, Challa Lahari, Grandhi Sai Kishore, Kandula Venkata Nikhil, Pavuluri Hemanth.
520 _a"The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. Book outlines selected AI applications for renewable energy. In particular, discusses methods using the AI approach for the following applications using suitable examples: prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aRenewable energy sources.
_94906
650 0 _aPower-plants
_xAutomatic control.
_913086
650 0 _aArtificial intelligence.
_93407
650 7 _aTECHNOLOGY / Electronics / General
_2bisacsh
_910793
700 1 _aTripathi, Suman Lata,
_eeditor.
_913034
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003104445
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c70363
_d70363