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| fixed length control field |
05039nam a22003737a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260730153238.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
260730b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780443289477 [paperback] |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
University of Cebu-Banilad |
| Transcribing agency |
University of Cebu-Banilad |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Computer vision and machine intelligence for renewable energy systems / |
| Statement of responsibility, etc |
volume editors & series editors by Ashtosh Kumar Dubey, Arun Lal Srivastav, Abhishek Kumar, Umesh Chandra Pati, Fausto Pedro García Márques, Vicente García-Díaz. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
United States : |
| Name of publisher, distributor, etc |
Elsevier Inc., |
| Date of publication, distribution, etc |
c2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 369 pages : |
| Other physical details |
illustrations (black and white) ; |
| Dimensions |
28 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Contents: List of contributors — Part I Fundamentals of computer vision and machine learning for renewable energy systems — 1, An overview of renewable energy sources: technologies, applications and role of artificial intelligence — 2. Artificial intelligence for renewable energy strategies and techniques — 3. Computer vision-based regression techniques for renewable energy: predicting energy output and performance — 4. Utilization of computer vision and machine learning for solar power prediction — 5. Exploring data-driven multivariate statistical models for the prediction of solar energy — 6. Solar energy generation and power prediction through computer vision and machine intelligence — Part II Computer vision techniques for renewable energy systems — 7. A machine intelligence model based on random forest for data related renewable energy from wind farms in Brazil — 8. Bioenergy prediction using computer vision and machine intelligence: modeling and optimization of bioenergy production — 9. Artificial intelligence and machine intelligence: modeling and optimization of bioenergy production — 10. Advancing bioenergy: levering artificial intelligence for efficient production and optimization —11. Image acquisition and processing techniques for crucial component of renewable energy technologies: mapping of rare earth element-bearing peralkaline granites — 12. Energy storage using computer vision: control and optimization of energy storage — 13. Classification technique for renewable energy: identifying renewable energy sources and features -- 14. Machine learning in renewable energy classification techniques for identifying sources and features -- 15. Advancing the frontier: hybrid renewable energy technologies for sustainable power generation -- 16. Transfer learning for renewable energy: fine-tunning and domain adaptation — Part III. Renewable energy sources and computer vision opportunities — 18. Future directions of computer vision and AI for renewable energy: trends and challenges in renewable energy research and applications. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration. This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.<br/>- Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems<br/>- Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications<br/>- Includes dedicated chapters with case studies and applications for each sustainable energy source" —Provided by the publisher |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Adult |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Deans/Chairperson |
Ortega, Eric |
| Department |
College of Computer Studies |
| Subject Category |
Computer Science |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Renewable energy, |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dubey, Ashtosh Kumar, |
| Relator term |
editor. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Srivastav, Arun Lal, |
| Relator term |
editor. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kumar, Abhisnek, |
| Relator term |
editor. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pati, Umesh Chandra, |
| Relator term |
editor. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Márques, Fausto Pedro García, |
| Relator term |
editor. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
García-Díaz, Vicente, |
| Relator term |
editor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Type of record |
Book |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Encoded by |
Janna [new] |
| Date encoded |
07/30/2026 |
