Introduction to AI Techniques for Renewable Energy Systems (Record no. 701441)

MARC details
000 -LEADER
fixed length control field 03847nam a22002897a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230406s2021 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367610920
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9780367610920
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.042028563
Item number TRI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Tripathi, Suman Lata
9 (RLIN) 673667
Relator term editor
245 ## - TITLE STATEMENT
Title Introduction to AI Techniques for Renewable Energy Systems
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton, FL :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. c2021
300 ## - PHYSICAL DESCRIPTION
Extent XII, 410 p.
Other physical details : ill
500 ## - GENERAL NOTE
General note Biography<br/><br/>Suman Lata Tripathi is working as a Professor at School of Electronics and Electrical Engineering, Lovely Professional University, India.<br/><br/><br/>Mithilesh Kumar Dubey is working as an Associate Professor at School of Computer Science and Engineering, Lovely Professional University, India.<br/><br/>Vinay Rishiwal is working as a Professor at Department of Computer Science and Information Technology, Faculty of Engineering and Technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India.<br/><br/><br/>Sanjeevikumar Padmanaban is working as a faculty member, at Department of Energy Technology, Aalborg University, Esbjerg, Denmark.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY:<br/><br/>Introduction to AI techniques for Renewable Energy System<br/><br/>Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems.<br/><br/>Features<br/><br/> Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques<br/><br/> Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches<br/><br/> Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance<br/><br/> Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems<br/><br/>This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Renewable Energy Sources
9 (RLIN) 17264
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 674360
Topical term or geographic name entry element Power Plants Automatic Control
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 151655
Topical term or geographic name entry element Artificial Intelligence
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Dubey, Mithilesh Kumar
9 (RLIN) 674361
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Rishiwal, Vinay
9 (RLIN) 674362
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9780367610920.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9780367610920.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.routledge.com/Introduction-to-AI-Techniques-for-Renewable-Energy-System/Tripathi-Dubey-Rishiwal-Padmanaban/p/book/9780367610920#">https://www.routledge.com/Introduction-to-AI-Techniques-for-Renewable-Energy-System/Tripathi-Dubey-Rishiwal-Padmanaban/p/book/9780367610920#</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 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 Date last checked out
    Dewey Decimal Classification Text, Hardcover     Reference Section Reference Section Reference Section 30/03/2023 10 Purchased 27776.39   621.042028563 TRI 98116 16/02/2024 2022-23 32678.10 30/03/2023 Reference Collection  
    Dewey Decimal Classification Text, Hardcover     Reference Section Reference Section Reference Section 14/09/2023 24 Purchased 41999.84 1 621.042028563 TRI 98439 16/02/2024 2023-24 52499.80 14/09/2023 Reference Collection 26/12/2023