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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

By: (Edited by) India) Kumar Krishna , (Edited by) UK) Kaiwartya Omprakash , (Edited by) Ram Shringar Rao , (Edited by) Sanjeevikumar Padmanaban , (Edited by) Shamim Kaiser

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Ksh 22,850.00

Format: Paperback / Softback

ISBN-10: 0323912281

ISBN-13: 9780323912280

Publisher: Elsevier - Health Sciences Division

Imprint: Elsevier - Health Sciences Division

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Mar 21st, 2022

Print length: 416 Pages

Weight: 664 grams

Dimensions (height x width x thickness): 15.20 x 22.70 x 3.20 cms

Product Classification: Alternative & renewable energy sources & technology

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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.

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