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020			_a9783031048517
024	7		_a10.1007/978-3-031-04851-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ808 _b2022 EB
245	0	0	_aArtificial Intelligence of Things for Smart Green Energy Management _cedited by Sarah El Himer, Mariyam Ouaissa, Abdulrahman A. A. Emhemed, Mariya Ouaissa, Zakaria Boulouard
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIII, 234 páginas) _b150 ilustraciones, 130 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4190 _v446
505	0		_aArtificial Intelligence of Things (AIoT) for Renewable Energies Systems -- Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity -- Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine -- Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network -- Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application -- Machine Learning-based Maximum Power Point Tracking Technique for Concentrated PV/TEG System under Non-Uniform Environmental Conditions -- Two-Dimensional Nanomaterials for Solar Cell Technology -- Improving Control for an Induction Machine using Artificial Intelligence -- Evaluation of the Recommended Algorithms in the Internet of Things -- Exposing Applications of IoT in Green Computing.
520			_aThis book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.
988			_aSpringer_Robotics_2022
650		7	_2embne _9143912 _aRecursos energéticos renovables
650		7	_2embne _9143724 _aEnergía de la biomasa
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aEl Himer, Sarah _eeditor literario _0(orcid)0000-0002-3803-1211 _1https://orcid.org/0000-0002-3803-1211 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aOuaissa, Mariyam _eeditor literario _0(orcid)0000-0002-3993-8405 _1https://orcid.org/0000-0002-3993-8405 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aEmhemed, Abdulrahman A. A _eeditor literario _0(orcid)0000-0001-5494-200X _1https://orcid.org/0000-0001-5494-200X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aOuaissa, Mariya _eeditor literario _0(orcid)0000-0002-0088-3742 _1https://orcid.org/0000-0002-0088-3742 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBoulouard, Zakaria _eeditor literario _0(orcid)0000-0002-4891-3760 _1https://orcid.org/0000-0002-4891-3760 _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031048500
776	0	8	_iPrinted edition: _z9783031048524
776	0	8	_iPrinted edition: _z9783031048531
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04851-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _eIG _zSI