000			04389nam a22004695i 4500
999			_c362037 _d362037 _x1
001			362037
003			ES-MaUEC
005			20240111050215.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220212s2021 si | s |||| 0|eng d
020			_a9789811610110
024	7		_a10.1007/978-981-16-1011-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2021 EB
245	0	0	_aAI and IOT in Renewable Energy _cedited by Rabindra Nath Shaw, Nishad Mendis, Saad Mekhilef, Ankush Ghosh
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XII, 109 páginas) _b 70 ilustraciones, 55 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Infrastructure and Control _x2730-6461
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aA Day Ahead Power Output Forecasting of three PV Systems using Regression, Machine Learning and Deep Learning Techniques -- Internet of Things and Internet of Drones in the Renewable Energy Infrastructure Towards Energy Optimization -- Reinforcement Learning Algorithm to Reduce Energy Consumption in Electric Vehicles -- Spotted Hyena Optimization (SHO) Algorithm based Novel Control Approach for Buck DC-DC Converter Fed PMBLDC Motor -- Simulation and Performance Analysis of Standalone Photovoltaic System with Boost Converter Under Irradiation and Temperature -- Analysis of Variation in Locational Marginal Pricing under Influence of Stochastic Wind Generation -- Optimal Integration of Plug-In Electric Vehicles Within a Distribution Network Using Genetic Algorithm -- Frequency Control of 5kW Self-Excited Induction Generator Using Gravitational Search Algorithm and Genetic Algorithm -- Cloud Based Real-time Vibration and Temperature Monitoring System for Wind Turbine -- Smart Solar-Powered Smart Agricultural Monitoring System Using Internet of Things Devices.
520	3		_aThis book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems. .
988			_aSpringer_Engineering_2021
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aShaw, Rabindra Nath _eeditor literario _4http://id.loc.gov/vocabulary/relators/edt _9681981
700	1		_aMendis, Nishad _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681982
700	1		_aMekhilef, Saad _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681983
700	1		_aGhosh, Ankush _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681984
776	0	8	_iPrinted edition: _z9789811610103
776	0	8	_iPrinted edition: _z9789811610127
776	0	8	_iPrinted edition: _z9789811610134
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-1011-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eIG _zSI