Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

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. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applicationsAuthor: Kumar,editor,Rao,editor,Kaiwartya,editor,Kaiser,editor,Padmanaban,editor Contributors: Kumar,editor,Rao,editor,Kaiwartya,editor,Kaiser,editor,Padmanaban,editor Binding: paperback Publication Date: Release Date: Languages: English,Published,English,Original Language,Englis Published/Release Date: 21 Mar 2022 Format: Paperback / softback Publisher/Studio/Brand: Elsevier - Health Sciences Division Author/Director/Artist: Krishna India) Kumar Dimension (cm): 229x152x24 mm Package Dimension (cm): 16x229x154 mm Item Weight (g): 771 Package Weight (g): 665