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010 a| 2021947268;

020 a| 9780323912280q| (paperback);

020 z| 9780323914284;

035 a| (WaSeSS)ssj0003153343;

049 a| EREEa| NEHH;

050 00 a| MLCM 2024/44783 (T);

245 00 a| Sustainable developments by artificial intelligence and machine learning for renewable energiesh| [electronic resource] /c| edited by Krishna Kumar, Ram Shringar Rao, Omprakash Kaiwartya, M. Shamim Kaiser, Sanjeevikumar Padmanaban.;

260 a| Amsterdam, Netherlands ;a| Cambridge, MA, United States :b| Elsevier,c| [2022];

300 a| xxiv, 391 pages :b| illustrations (some color) ;c| 23 cm;

500 a| Minimal Level Cataloging Plus.5| DLC;

504 a| Includes bibliographical references and index.;

505 0 a| Application of alternative clean energy / Adarsh Gaurav [and 6 others] -- Optimization of hybrid energy generation / Poonam B. Dhabai, Neeraj Tiwari -- IoET-SG: Integrating internet of energy things with smart grid / M. Shahidul Islam [and 5 others] -- Evolution of high efficiency passivated emitter and rear contact (PERC) solar cells / Sourav Sadhukhan [and 10 others] -- Online-based approach for frequency control of microgrid using biologically inspired intelligent controller / Bhola Jha, Manoj Kumar Panda, Yatindra Kumar -- Optimal allocation of renewable energy sources in electrical distribution systems based on technical and economic indices -- Optimization of renewable energy sources using emerging computational techniques -- Advanced renewable dispatch with machine learning-based hybrid demand-side controller: The state of the art and a novel approach -- A machine learning-based design approach on PCMs-PV systems with multilevel scenario uncertainty -- Agent-based peer-to-peer energy trading between prosumers and consumers with cost-benefit business models -- Machine learning-based hybrid demand-side controller for renewable energy management -- Prediction of energy generation target of hydropower plants using artificial neural networks -- Response surface methodology-based optimization of parameters for biodiesel production -- Reservoir simulation model for the design of irrigation projects -- Effect of hydrofoils on the starting torque characteristics of the Darrieus hydrokinetic turbine.;

506 a| Available only to authorized users.;

520 a| "Covers the best-performing methods and approaches for designing renewable energy systems where AI integration in a real-time environment with simulation results and online map hyperlinking Gives advanced techniques for monitoring current technologies, and how to efficiently utilize the energy grid spectrum Addresses the advance field of renewable generation, from research, impact, and idea development of new applications in a single platform"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Renewable energy sourcesx| Data processing.;

650 0 a| Artificial intelligencex| Engineering applications.;

655 0 a| Electronic books.;

700 1 a| Kumar, Krishna.;

700 1 a| Rao, Ram Shringar,d| 1973-;

700 1 a| Kaiwartya, Omprakash,d| 1981-;

700 1 a| Kaiser, M. Shamim.;

700 1 a| Sanjeevikumar, Padmanaban,d| 1978-;

856 40 z| Full text available from Elsevier SD eBook - Energy 2022u| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Fbook%2F9780323912280;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6361085-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 4/19/2024x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6361085-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 4/19/2024x| EBOOKz| JERESOURCE;

Sustainable developments by artificial intelligence and machine learning for renewable energies / edited by Krishna Kumar, Ram Shringar Rao, Omprakash Kaiwartya, M. Shamim Kaiser, Sanjeevikumar Padmanaban.

Format	Electronic
Publication Info	Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, [2022]
Description	xxiv, 391 pages : illustrations (some color) ; 23 cm
Supplemental Content	Full text available from Elsevier SD eBook - Energy 2022
Subjects	Renewable energy sources--Data processing. Artificial intelligence--Engineering applications.

Other author/creator	Kumar, Krishna.
Other author/creator	Rao, Ram Shringar, 1973-
Other author/creator	Kaiwartya, Omprakash, 1981-
Other author/creator	Kaiser, M. Shamim.
Other author/creator	Sanjeevikumar, Padmanaban, 1978-
Contents	Application of alternative clean energy / Adarsh Gaurav [and 6 others] -- Optimization of hybrid energy generation / Poonam B. Dhabai, Neeraj Tiwari -- IoET-SG: Integrating internet of energy things with smart grid / M. Shahidul Islam [and 5 others] -- Evolution of high efficiency passivated emitter and rear contact (PERC) solar cells / Sourav Sadhukhan [and 10 others] -- Online-based approach for frequency control of microgrid using biologically inspired intelligent controller / Bhola Jha, Manoj Kumar Panda, Yatindra Kumar -- Optimal allocation of renewable energy sources in electrical distribution systems based on technical and economic indices -- Optimization of renewable energy sources using emerging computational techniques -- Advanced renewable dispatch with machine learning-based hybrid demand-side controller: The state of the art and a novel approach -- A machine learning-based design approach on PCMs-PV systems with multilevel scenario uncertainty -- Agent-based peer-to-peer energy trading between prosumers and consumers with cost-benefit business models -- Machine learning-based hybrid demand-side controller for renewable energy management -- Prediction of energy generation target of hydropower plants using artificial neural networks -- Response surface methodology-based optimization of parameters for biodiesel production -- Reservoir simulation model for the design of irrigation projects -- Effect of hydrofoils on the starting torque characteristics of the Darrieus hydrokinetic turbine.
Abstract	"Covers the best-performing methods and approaches for designing renewable energy systems where AI integration in a real-time environment with simulation results and online map hyperlinking Gives advanced techniques for monitoring current technologies, and how to efficiently utilize the energy grid spectrum Addresses the advance field of renewable generation, from research, impact, and idea development of new applications in a single platform"-- Provided by publisher.
General note	Minimal Level Cataloging Plus.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021947268
ISBN	9780323912280 (paperback)

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Sustainable developments by artificial intelligence and machine learning for renewable energies / edited by Krishna Kumar, Ram Shringar Rao, Omprakash Kaiwartya, M. Shamim Kaiser, Sanjeevikumar Padmanaban.

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