000			02003nam a2200337Ia 4500
001			CRC0KE21474PDF
003			FlBoTFG
005			20171224123615.0
006			m|||||o||d||||||||
007			cr||||
008			130619s2013 fluad sb 001 0 eng d
020			_a9781466573420 (ebook : PDF)
040			_aFlBoTFG _cFlBoTFG
090			_aTK1007 _b.O53 2013
092			_a621.31028563 _bO588
100	1		_aOngsakul, Weerakorn.
245	1	0	_aArtificial intelligence in power system optimization _h[electronic resource] / _cWeerakorn Ongsakul, Dieu Ngoc Vo.
260			_aBoca Raton : _bTaylor & Francis, _c2013.
300			_aix, 510 p. : _bill.
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction -- 2. Economic dispatch -- 3. Unit commitment -- 4. Hydrothermal scheduling -- 5. Optimal power flow -- 6. Optimal reactive power dispatch -- 7. Available transfer capability.
520			_a"With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization"-- _cProvided by publisher.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
650		0	_aElectric power systems _xAutomatic control.
650		0	_aIntelligent control systems.
655		7	_aElectronic books. _2lcsh
700	1		_aVo, Dieu Ngoc.
776	1		_z9781578088058 (hardback)
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781466573420 _qapplication/PDF _zDistributed by publisher. Purchase or institutional license may be required for access.
999			_c15358 _d15358