000			03494nam a22004095i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
999			_c102621 _d102621 _x1
001			102621
003			ES-MaUEC
005			20240111050141.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			180312s2018 gw | s |||| 0|eng d
020			_a9783319731926
024	7		_a10.1007/978-3-319-73192-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2018 EB
245	0	0	_aArtificial Intelligence in Renewable Energetic Systems : _bSmart Sustainable Energy Systems _cedited by Mustapha Hatti.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 531 páginas) _bilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aLecture Notes in Networks and Systems, _x2367-3370 _v35
490	0		_aEngineering (Springer-11647)
505	0		_aNPC Multilevel Inverters Advanced Conversion Technology in APF -- Optimization Study of Hybrid Renewable Energy System in Autonomous Site -- Ensemble of Support Vector Methods to Estimate Global Solar Radiation In Algeria -- Study of percentage effect of Polymer blends system on physical properties using MM/QM approach -- Optimization and characterization of Nanowires Semiconductor based-Solar Cells -- Using Phase Change Materials (PCMs) to reduce energy consumption in buildings -- Optimization of Copper Indium Gallium Diselenide Thin Film Solar Cell (CIGS).
520	3		_aThis book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22-24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.
988			_aEBSPRINGER_2018
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
650		7	_2embne _9143912 _aRecursos energéticos renovables _vCongresos y asambleas
700	1		_aHatti, Mustapha. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iEdición impresa: _z9783319731919
776	0	8	_iEdición impresa: _z9783319731933
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73192-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI