Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy...
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| Format: | Elektronski eKnjiga |
| Jezik: | angleščina |
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Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Izdaja: | 1st ed. 2023. |
| Serija: | EAI/Springer Innovations in Communication and Computing,
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| Online dostop: | https://doi.org/10.1007/978-3-031-26496-2 |
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| 245 | 1 | 0 | |a Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy |h [electronic resource] / |c edited by Mukhdeep Singh Manshahia, Valeriy Kharchenko, Gerhard-Wilhelm Weber, Pandian Vasant. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XXII, 285 p. 116 illus.). |b 90 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
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| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a EAI/Springer Innovations in Communication and Computing, |x 2522-8609 | |
| 505 | 0 | |a Chapter 1. General Approaches to Assessing Electrical Load of Agro-Industrial Complex Facilities When Justifying the Parameters of the Photovoltaic Power System -- Chapter 2. RBFNN for MPPT Controller in Wind Energy Harvesting System -- Chapter 3. Simulation Optimum Performance All-Wheels Plug-In Hybrid Electric Vehicle -- Chapter 4. Artificial Intelligence application to flexibility provision in energy management system: a survey -- Chapter 5. Machine Learning Applications for Renewable Energy Systems -- Chapter 6. New Technologies and Equipment For Smelting Technical Silicon -- Chapter 7. Reconfiguration of distribution network considering photovoltaic system placement based on metaheuristic algorithms -- Chapter 8. Technology of Secondary Cast Polycrystalline Silicon And Its Application In The Production Of Solar Cells -- Chapter 9. Machine Learning Applications for Renewable based Energy Systems -- Chapter 10. Bi-Objective Optimal Scheduling of Smart Homes Appliances using Artificial Intelligence -- Chapter 11. Optimal placement of photovoltaic systems and wind turbines in distribution systems by using Northern Goshawk Optimization algorithm -- Chapter 12. Granulated silicon and thermal energy converters on its basis -- Chapter 13. Security Constrained Unit Commitment with Wind Energy Resource using Universal Generating Function. | |
| 520 | |a This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy. Based on sustainability as a fundamental factor for intelligent computing; Focuses on the role AI playsin smart living, energy transition, and sustainable development; Covers a broad range of green energy-related topics. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Renewable energy sources. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 1 | 4 | |a Renewable Energy. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 700 | 1 | |a Manshahia, Mukhdeep Singh. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Kharchenko, Valeriy. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Weber, Gerhard-Wilhelm. |e editor. |0 (orcid)0000-0003-0849-7771 |1 https://orcid.org/0000-0003-0849-7771 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Vasant, Pandian. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031264955 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031264979 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031264986 |
| 830 | 0 | |a EAI/Springer Innovations in Communication and Computing, |x 2522-8609 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-26496-2 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||