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020			_a9789811660818
024	7		_a10.1007/978-981-16-6081-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
245	0	0	_aIntelligent Data Analytics for Power and Energy Systems _cedited by Hasmat Malik, Md. Waseem Ahmad, D.P. Kothari
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXII, 641 páginas) _b412 ilustraciones, 271 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Electrical Engineering _x1876-1119 _v802
505	0		_aIntelligent Approach for Analysis and Diagnosis of Attack, Fault and Load Variation in SCADA Systems: A Power System Application -- Intelligent Approach for Distributed Generation Planning and Distribution Network Reconfiguration Using Metaheuristic Technique -- Intelligent Modelling and Analysis of Direct Torque Control-Space Vector Modulation of Doubly Fed Induction Generator (DFIG) -- Modelling and Analysis of an Intelligent Approach for Load Frequency Control in a Deregulated Power System: A Case Study Based on Different Control Schemes -- Mathematical Approach Based Power System Analysis: A Review of Short Term Hydro Scheduling -- Novel Approach for Power System Stability Analysis and Improvement: A Case Study Based on UPFC Application -- Intelligent Modelling and Analysis of P-Q Control Technique for SPV Plant Supplying Power to Grid -- Intelligent Approach for Fuel Constrained Economic Emission Dispatch Analysis Using Multi-objective Differential Evolution -- Intelligent Adaptive Critic Scheme Implementation and Investigation Using Policy Iteration Technique: A case study of Multi-Area Automatic Generation Control (AGC) Problem -- Intelligent Method for Installation and Investigation of VSC-HVDC Converter Using Metaheuristic Algorithm: A Case Study of Unified Optimal Power Flow problem -- Implementation and Analysis of TID Controller for Power Apparatus Applications using Flower Pollination Algorithm -- Intelligent Technique for Eccentricity Fault Diagnosis of Power Apparatus Using Signal Processing Method -- Intelligent Methods for Power System Analysis: Advancement in Optimization and its Application -- Investigation and Analysis of Harmonics in Different Control Techniques of PMSM Drives: An Application of Power System Health Monitoring -- Design and Analysis of Artificial Intelligence Method for MPPT Control: An Application of Grid Connected PV System.
520			_aThis book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.
988			_aSpringer_Robotics_2022
650		7	_2embne _9162648 _aData mining
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aMalik, Hasmat _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAhmad, Md. Waseem _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKothari, D. P. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _950503 _d1944- _q(Dwarkadas Pralhaddas),
776	0	8	_iPrinted edition: _z9789811660801
776	0	8	_iPrinted edition: _z9789811660825
776	0	8	_iPrinted edition: _z9789811660832
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6081-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eIG _zSI