000			03118cam a22005297i 4500
001			9781003222286
003			FlBoTFG
005			20240213122826.0
006			m o d
007			cr cnu---unuuu
008			220615s2022 flua o 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781003222286 _q(electronic bk.)
020			_a1003222285 _q(electronic bk.)
020			_a9781000618433 _q(electronic bk. : PDF)
020			_a1000618439 _q(electronic bk. : PDF)
020			_a9781000618464 _q(electronic bk. : EPUB)
020			_a1000618463 _q(electronic bk. : EPUB)
020			_z9781032054414
020			_z1032054417
024	7		_a10.1201/9781003222286 _2doi
035			_a(OCoLC)1330245745
035			_a(OCoLC-P)1330245745
050		4	_aTK1087
072		7	_aTEC _x031020 _2bisacsh
072		7	_aTEC _x008000 _2bisacsh
072		7	_aTJF _2bicssc
082	0	4	_a621.31244028563 _223
245	0	0	_aArtificial intelligence for solar photovoltaic systems : _bapproaches, methodologies and technologies / _cedited by Bhavnesh Kumar, Bhanu Pratap, Vivek Shrivastava.
264		1	_aBoca Raton : _bCRC Press, _c2022.
300			_a1 online resource (1 volume) : _billustrations (black and white).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aExplainable AI (XAI) for engineering applications
520			_aThis book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aPhotovoltaic power generation.
650		0	_aPhotovoltaic power systems _xAutomatic control.
650		0	_aArtificial intelligence.
650		7	_aTECHNOLOGY / Electronics / General _2bisacsh
700	1		_aKumar, Bhavnesh, _eeditor.
700	1		_aPratap, Bhanu, _eeditor.
700	1		_aShrivastava, Vivek, _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003222286
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5095 _d5095