Artificial Intelligence for Solar Photovoltaic Systems Approaches Methodologies and Technologies (Record no. 814466)

MARC details
000 -LEADER
fixed length control field 02681nam a22002897a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240111s2023 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032054414
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781032054414
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31244028563
Item number KUM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kumar, Bhavnesh
9 (RLIN) 879279
Relator term editor
245 ## - TITLE STATEMENT
Title Artificial Intelligence for Solar Photovoltaic Systems Approaches Methodologies and Technologies
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton, FL :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. c2023
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 290 p.
Other physical details : ill
490 ## - SERIES STATEMENT
Series statement Explainable AI XAI for Egineering Applications
500 ## - GENERAL NOTE
General note EDITORS<br/><br/>Bhavnesh Kumar is an Assistant Professor in the area of power electronics & drives at the Division of Instrumentation & Control Engineering, NSIT Delhi.<br/><br/>Bhanu Pratap is working as an Assistant Professor in the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India.<br/><br/>Vivek Shrivastava presently is the Dean (Research & Consultancy) at the National Institute of Technology Delhi.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques.<br/><br/>It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI.<br/><br/>This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 151655
Topical term or geographic name entry element Artificial Intelligence
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 17772
Topical term or geographic name entry element Photovoltaic Power Generation
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 879868
Topical term or geographic name entry element Photovoltaic Power System Automatic Control
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Pratap, Bhanu
9 (RLIN) 689769
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Shrivastava, Vivek
9 (RLIN) 879869
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781032054414.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781032054414.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.routledge.com/Artificial-Intelligence-for-Solar-Photovoltaic-Systems-Approaches-Methodologies/Kumar-Pratap-Shrivastava/p/book/9781032054414#">https://www.routledge.com/Artificial-Intelligence-for-Solar-Photovoltaic-Systems-Approaches-Methodologies/Kumar-Pratap-Shrivastava/p/book/9781032054414#</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Purchased by Department/Discipline Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Hardcover     Department of Electronic Engineering Reference Section Reference Section Reference Section 13/12/2023 25 Purchased 40076.91   621.31244028563 KUM 98480 19/02/2024 2023-2024 40076.90 13/12/2023 Reference Collection