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 |