000			02159cam a2200325 i 4500
008			230808s2022 enka b 001 0 eng d
020			_a9780128206416 _qpaperback _cRM57.20
040			_aYDX _beng _erda _cYDX _dBDX _dUKMGB _dOCLCF _dLHL _dDLC _dUKM _erda
090			_aTK1087 _b.M455 3
100	1		_aMellit, Adel, _eauthor.
245	1	0	_aHandbook of artificial intelligence techniques in photovoltaic systems : _bmodeling, control, optimization, forecasting and fault diagnosis / _cAdel Mellit and Soteris Kalogirou.
264		1	_aLondon ; _aSan Diego, CA : _bAcademic Press, _c2022
264		4	_c©2022
300			_axiv, 358 pages : _billustrations (some color) ; _c23 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a'Handbook of artificial intelligence techniques in photovoltaic systems provides readers with a comprehensive and detailed overview of the role of artificial intelligence (AI) in PV systems. Covering up-to-date research and methods of how, when, and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase the efficiency of PV systems. Each chapter solves specific problem and can stand independently; this detailed book contains problem-solving data for challenges, including optimization , advanced control, output power forecasting, fault detection identification and localization, and real-time implementation of designed intelligent models (into FPGAs, DSPs, or MCs) and smart monitoring systems.'--Back cover.
650		0	_aPhotovoltaic power systems _xData processing.
650		0	_aArtificial intelligence.
700	1		_aKalogirou, Soteris, _ejoint author.
907			_a.b17008992 _b2024-03-18 _c2023-10-25
942			_c01 _n0 _kTK1087 .M455 3
949			_o600000887
990			_azsz
991			_aFakulti Kejuruteraan dan Alam Bina
998			_al _b2023-10-25 _cm _da _feng _genk _y0 _z.b17008992
999			_c667654 _d667654