國立高雄大學圖資館 |

Language: English

Back

Intelligent data analytics for power and energy systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent data analytics for power and energy systemsedited by Hasmat Malik, Md. Waseem Ahmad, D. P. Kothari.
other author:	Malik, Hasmat.
Published:	Singapore :Springer Singapore :2022.
Description:	xxii, 641 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electric power systemsData processing.
Online resource:	https://doi.org/10.1007/978-981-16-6081-8
ISBN:	9789811660818$q(electronic bk.)

Intelligent data analytics for power and energy systems
Intelligent data analytics for power and energy systems[electronic resource] /edited by Hasmat Malik, Md. Waseem Ahmad, D. P. Kothari. - Singapore :Springer Singapore :2022. - xxii, 641 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 8021876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Intelligent 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.

This 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.

ISBN: 9789811660818$q(electronic bk.)

Standard No.: 10.1007/978-981-16-6081-8doiSubjects--Topical Terms:

310284
Electric power systems
--Data processing.

LC Class. No.: TK1005 / .I58 2022

Dewey Class. No.: 621.3102856312

Intelligent data analytics for power and energy systems
LDR:04566nmm a2200337 a 4500 001 622991
003 DE-He213
005 20220217053944.0
006 m d
007 cr nn 008maaau
008 221209s2022 si s 0 eng d
020 $a 9789811660818$q(electronic bk.)
020 $a 9789811660801$q(paper)
024 7 $a 10.1007/978-981-16-6081-8 $2 doi
035 $a 978-981-16-6081-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1005 $b .I58 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 621.3102856312 $2 23
090 $a TK1005 $b .I61 2022
245 0 0 $a Intelligent data analytics for power and energy systems $h [electronic resource] / $c edited by Hasmat Malik, Md. Waseem Ahmad, D. P. Kothari.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xxii, 641 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 802
505 0 $a Intelligent 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 $a This 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.
650 0 $a Electric power systems $x Data processing. $3 310284
650 0 $a Data mining. $3 184440
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Electrical Power Engineering. $3 919410
650 2 4 $a Energy Grids and Networks. $3 914991
650 2 4 $a Power Electronics. $3 919426
700 1 $a Malik, Hasmat. $3 833225
700 1 $a Ahmad, Md. Waseem. $3 925023
700 1 $a Kothari, D. P. $3 224062
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v.132. $3 545003
856 4 0 $u https://doi.org/10.1007/978-981-16-6081-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)