000			01919cam a22003498i 4500
001			22812450
003			OSt
005			20241118164333.0
008			221004s2023 nju b 001 0 eng
010			_a 2022047055
020			_a9781119893967 _q(hardback)
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aTK3105 _b.A791 2023
082	0	0	_a621.381/044028563 _223/eng/20221205
245	0	0	_aArtificial Intelligence-Based Smart Power Systems / _cEdited by Sanjeevikumar Padmanaban, Palanisamy Sivaraman, Chenniappan Sharmeela, Jens Bo Holm-Nielsen.
263			_a2301
264		1	_aHoboken, New Jersey : _bIEEE Press, _bWiley, _c[2023].
300			_axxii, 378 pages : _billustrations ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"In the modern world, power distribution systems, microgrids, and electric vehicles have become absolute necessities due to various reasons. Smart power systems require more sophistication in operation and control. To achieve that sophistication, most of the loads in smart power systems are power electronics-based. However, this produces power quality problems like harmonics, flicker, etc. Power quality conditioners are essential to enhance the power quality in smart power systems. Hardware-in-the-loop (HIL)-based simulation is used to model smart power systems"-- _cProvided by publisher.
650		0	_aSmart power grids.
650		0	_aArtificial intelligence.
700	1		_aSanjeevikumar, Padmanaban, _d1978- _eeditor.
776	0	8	_iOnline version: _tArtificial intelligence-based smart power systems _dHoboken, New Jersey : Wiley, 2023 _z9781119893974 _w(DLC) 2022047056
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c6268 _d6268