Recent advances in energy harvesting technologies

This book discusses the application of artificial intelligence (AI) for energy harvesting.

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Bibliographic Details
Other Authors Rajput, Shailendra, Sharma, Abhishek, Jately, Vibhu, Ram, Mangey
Format Electronic eBook
LanguageEnglish
Published Milton : River Publishers, 2023.
SeriesRiver Publishers series in energy sustainability and efficiency
Subjects
Energy harvesting > Technological innovations.
Artificial intelligence > Engineering applications.
Artificial intelligence > Environmental aspects.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781000962833
1000962830
9781003440383
100344038X
9781000962932
1000962938
8770228450
9788770228459
Physical Description1 online resource (253 p.).

Cover

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035 |a (OCoLC)1396697564  |z (OCoLC)1396551811 
245 0 0 |a Recent advances in energy harvesting technologies /  |c editors, Shailendra Rajput, Abhishek Sharma, Vibhu Jately, Mangey Ram. 
264 1 |a Milton :  |b River Publishers,  |c 2023. 
300 |a 1 online resource (253 p.). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a River Publishers series in energy sustainability and efficiency 
504 |a Includes bibliographical references and index. 
505 0 |a Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgement -- List of Figures -- List of Tables -- List of Contributors -- List of Abbreviations -- Chapter 1: AI in Energy Harvesting -- 1.1: Introduction -- 1.2: Energy from Mechanical Vibrations -- 1.3: Fundamentals of Vibrational Energy Harvesting -- 1.4: Piezoelectric and Triboelectric Nanogenerators -- 1.5: Electro-mechanical Energy Harvesting -- 1.6: Piezoelectric Energy Harvesters -- 1.7: Triboelectric Energy Harvester (TENG) -- 1.8: Artificial Intelligent in Energy Harvesting 
505 8 |a 1.9: Artificial Intelligent in Energy Harvesters -- 1.10: Philosophy of AI in Energy Harvesting -- 1.11: Limitation and Future Scope of AI in Energy Harvesting -- 1.12: Conclusion -- Chapter 2: Application of the ANN Method in Water Energy Harvesting -- 2.1: Introduction -- 2.2: Soft Computing -- 2.2.1: Soft-computing properties -- 2.3: Artificial Neural Networks (ANN) -- 2.4: Application of ANN in Hydrology -- 2.4.1: In stream-flow modelling -- 2.4.2: In water quality modelling -- 2.4.3: In groundwater modelling -- 2.5: Case Studies: Application of ANN in Water Resources 
505 8 |a 2.5.1: Rainfall-runoff (RR) process -- 2.5.2: Surface runoff -- 2.5.3: Rainfall-runoff (RR) modelling approaches -- 2.5.4: Physically based RR models -- 2.5.5: Conceptual RR models -- 2.5.6: Empirical RR models -- 2.6: ANN Application in Water Energy Harvesting -- 2.7: Rainfall-runoff (RR) Modelling using ANNs -- 2.8: Implementation of ANN-RR (Rainfall-Runoff) Models -- 2.9: Conclusion -- Chapter 3: Artificial Intelligence (AI) in Electrical Vehicles -- 3.1: Introduction -- 3.2: Advantages of Electric Vehicles -- 3.3: Opportunities for Energy Harvesting on Electric Vehicles 
505 8 |a 3.4: The Electric Vehicle Industry and Artificial Intelligence -- 3.5: How AI Is Accelerating the Power of Electric Vehicle Batteries -- 3.6: Internal Combustion Engine (ICE) Sales Ban Proposals -- 3.7: Electric Vehicle Charging -- 3.8: ML and Predictive Analytics -- 3.9: Supervised Learning -- 3.10: Unsupervised Learning and Statistical Models -- 3.11: Electric Vehicle Battery Makers -- 3.12: Is Lithium the New Gasoline? -- 3.13: Enabling High-Energy Dense Batteries -- 3.14: Future Scope of AI in the EV Industry -- 3.15: Conclusion 
505 8 |a Chapter 4: Advances in Maximum Power Point Tracking of Solar Photovoltaic Systems Under Partially Shaded Conditions with Swarm Intelligence Techniques -- 4.1: Introduction -- 4.2: Model Description of PV Source -- 4.3: Partial Shading and Its Effects -- 4.4: Model Description of MPPT Controller -- 4.5: Overview of MPPT Techniques for Solar Photovoltaic Systems -- 4.6: Working Principles of MPPT Techniques -- 4.6.1: Gradient-based MPPT techniques -- 4.6.2: Soft computing-based MPPT techniques -- 4.7: Classification of MPPT Techniques -- 4.7.1: Gradient-based MPPT techniques 
500 |a 4.7.2: Soft computing-based MPPT techniques 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book discusses the application of artificial intelligence (AI) for energy harvesting. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Energy harvesting  |x Technological innovations. 
650 0 |a Artificial intelligence  |x Engineering applications. 
650 0 |a Artificial intelligence  |x Environmental aspects. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Rajput, Shailendra. 
700 1 |a Sharma, Abhishek. 
700 1 |a Jately, Vibhu. 
700 1 |a Ram, Mangey. 
776 0 8 |i Print version:  |a Rajput, Shailendra  |t Recent Advances in Energy Harvesting Technologies  |d Milton : River Publishers,c2023  |z 9788770229937 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpRAEHT003/recent-advances-in?kpromoter=marc  |y Full text 

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