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001444567 001__ 1444567
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001444567 0247_ $$a10.1007/978-981-16-6081-8$$2doi
001444567 035__ $$aSP(OCoLC)1298513557
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001444567 049__ $$aISEA
001444567 050_4 $$aTK1005$$b.I58 2022
001444567 08204 $$a621.31028563/12$$223
001444567 24500 $$aIntelligent data analytics for power and energy systems /$$cHasmat Malik, Md. Waseem Ahmad, D.P. Kothari, editors.
001444567 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001444567 264_4 $$c©2022
001444567 300__ $$a1 online resource :$$billustrations (some color).
001444567 336__ $$atext$$btxt$$2rdacontent
001444567 337__ $$acomputer$$bc$$2rdamedia
001444567 338__ $$aonline resource$$bcr$$2rdacarrier
001444567 4901_ $$aLecture notes in electrical engineering ;$$vvolume 802
001444567 5050_ $$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.
001444567 506__ $$aAccess limited to authorized users.
001444567 520__ $$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.
001444567 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 25, 2022).
001444567 650_0 $$aElectric power systems$$xData processing.
001444567 650_0 $$aData mining.
001444567 650_6 $$aRéseaux électriques (Énergie)$$xInformatique.
001444567 650_6 $$aExploration de données (Informatique)
001444567 655_0 $$aElectronic books.
001444567 7001_ $$aMalik, Hasmat,$$eeditor.
001444567 7001_ $$aAhmad, Md. Waseem,$$eeditor.
001444567 7001_ $$aKothari, D. P.$$q(Dwarkadas Pralhaddas),$$d1944-$$eeditor.
001444567 77608 $$iPrint version: $$z9811660808$$z9789811660801$$w(OCoLC)1263865734
001444567 830_0 $$aLecture notes in electrical engineering ;$$vv. 802.
001444567 852__ $$bebk
001444567 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-6081-8$$zOnline Access$$91397441.1
001444567 909CO $$ooai:library.usi.edu:1444567$$pGLOBAL_SET
001444567 980__ $$aBIB
001444567 980__ $$aEBOOK
001444567 982__ $$aEbook
001444567 983__ $$aOnline
001444567 994__ $$a92$$bISE