Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Intelligent paradigms for smart grid...
~
SpringerLink (Online service)
Intelligent paradigms for smart grid and renewable energy systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intelligent paradigms for smart grid and renewable energy systemsedited by B. Vinoth Kumar ... [et al.].
other author:
Vinoth Kumar, B.
Published:
Singapore :Springer Singapore :2021.
Description:
xii, 390 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Smart power gridsData processing.
Online resource:
https://doi.org/10.1007/978-981-15-9968-2
ISBN:
9789811599682$q(electronic bk.)
Intelligent paradigms for smart grid and renewable energy systems
Intelligent paradigms for smart grid and renewable energy systems
[electronic resource] /edited by B. Vinoth Kumar ... [et al.]. - Singapore :Springer Singapore :2021. - xii, 390 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..
Artificial Swarm Intelligence - A Paradigm Shift in Prediction, Decision Making and Diagnosis -- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm -- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems -- A New Model of Demand Response in Smart Grid -- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle -- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management - A comprehensive review -- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems -- Fuzzy Logic Controller based Plug-In EV Battery Charger -- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions -- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator -- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network -- Demand Response in Smart Residential Buildings.
This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.
ISBN: 9789811599682$q(electronic bk.)
Standard No.: 10.1007/978-981-15-9968-2doiSubjects--Topical Terms:
755825
Smart power grids
--Data processing.
LC Class. No.: TK3105
Dewey Class. No.: 621.31
Intelligent paradigms for smart grid and renewable energy systems
LDR
:02770nmm a2200337 a 4500
001
596468
003
DE-He213
005
20201215103421.0
006
m d
007
cr nn 008maaau
008
211013s2021 si s 0 eng d
020
$a
9789811599682$q(electronic bk.)
020
$a
9789811599675$q(paper)
024
7
$a
10.1007/978-981-15-9968-2
$2
doi
035
$a
978-981-15-9968-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK3105
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
621.31
$2
23
090
$a
TK3105
$b
.I61 2021
245
0 0
$a
Intelligent paradigms for smart grid and renewable energy systems
$h
[electronic resource] /
$c
edited by B. Vinoth Kumar ... [et al.].
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
xii, 390 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Algorithms for intelligent systems,
$x
2524-7565
505
0
$a
Artificial Swarm Intelligence - A Paradigm Shift in Prediction, Decision Making and Diagnosis -- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm -- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems -- A New Model of Demand Response in Smart Grid -- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle -- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management - A comprehensive review -- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems -- Fuzzy Logic Controller based Plug-In EV Battery Charger -- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions -- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator -- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network -- Demand Response in Smart Residential Buildings.
520
$a
This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.
650
0
$a
Smart power grids
$x
Data processing.
$3
755825
650
0
$a
Renewable energy sources.
$3
190766
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Power Electronics, Electrical Machines and Networks.
$3
338660
650
2 4
$a
Artificial Intelligence.
$3
212515
700
1
$a
Vinoth Kumar, B.
$3
889254
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Algorithms for intelligent systems.
$3
857955
856
4 0
$u
https://doi.org/10.1007/978-981-15-9968-2
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000194166
電子館藏
1圖書
電子書
EB TK3105 .I61 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-981-15-9968-2
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login