國立虎尾科技大學 |

Intelligent Data Analytics for Power and Energy Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Data Analytics for Power and Energy Systems/ edited by Hasmat Malik, Md. Waseem Ahmad, D.P. Kothari.
其他作者:	Malik, Hasmat.
面頁冊數:	XXII, 641 p. 412 illus., 271 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-981-16-6081-8
ISBN:	9789811660818

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. - 1st ed. 2022. - XXII, 641 p. 412 illus., 271 illus. in color.online resource. - Lecture Notes in Electrical Engineering,8021876-1119 ;. - Lecture Notes in Electrical Engineering,317.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Intelligent Data Analytics for Power and Energy Systems
LDR:04924nam a22004095i 4500 001 1094423
003 DE-He213
005 20220512133609.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811660818 $9 978-981-16-6081-8
024 7 $a 10.1007/978-981-16-6081-8 $2 doi
035 $a 978-981-16-6081-8
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Intelligent Data Analytics for Power and Energy Systems $h [electronic resource] / $c edited by Hasmat Malik, Md. Waseem Ahmad, D.P. Kothari.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XXII, 641 p. 412 illus., 271 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Electrical Engineering, $x 1876-1119 ; $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 Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Electric power production. $3 555956
650 0 $a Electric power distribution. $3 572880
650 0 $a Power electronics. $3 561011
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Electrical Power Engineering. $3 1365891
650 2 4 $a Energy Grids and Networks. $3 1387642
650 2 4 $a Power Electronics. $3 1388857
700 1 $a Malik, Hasmat. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1299633
700 1 $a Ahmad, Md. Waseem. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1402562
700 1 $a Kothari, D.P. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1402563
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811660801
776 0 8 $i Printed edition: $z 9789811660825
776 0 8 $i Printed edition: $z 9789811660832
830 0 $a Lecture Notes in Electrical Engineering, $x 1876-1100 ; $v 317 $3 1253457
856 4 0 $u https://doi.org/10.1007/978-981-16-6081-8
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)