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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.
About the Authors:
Dr. Krishna Kumar received his BE degree in Electronics and Communication Engineering from Govind Ballabh Pant Engineering College, Pauri Garhwal, Uttarakhand, India, MTech degree in Digital Systems from Motilal Nehru NIT, Allahabad, India, in 2006 and 2012, respectively, and PhD degree in the Department of Hydro and Renewable Energy at the Indian Institute of Technology Roorkee, India, in 2023.
He is currently working as an Assistant Engineer at UJVN Ltd. (a State Government PSU of Uttarakhand) since January 2013. Before joining UJVNL, he worked as an Assistant Professor at BTKIT, Dwarahat (a Government of Uttarakhand Institution). He has published numerous research papers in international journals and conferences, including IEEE, Elsevier, Springer, MDPI, Hindawi, and Wiley. He has also edited and written books for Taylor & Francis, Elsevier, Springer, River Press, and Wiley. His current research interests include IoT, AI, and renewable energy.
Dr. Omprakash Kaiwartya is an Associate Professor (Networks & Cybersecurity for CAV) and PhD (PGR) Research Coordinator at the Department of Computer Science. He is also the Research Talk/Seminar Co-ordinator of the department. He was also the Course Leader for MSc Engineering Electronics and Cybernetics & Communication (2018-2024). He teaches Embedded Systems and Group Design Projects modules in MSc and Internet/Systems Technology, and Networks and Security modules in BSc.
Dr. Omprakash is leading the industry-centered Connected and Autonomous vehicle research at Nottingham Trent, and Co-Director of the Cyber Security Research Group (CSRG) at the Department of Computer Science.
Title: Sustainable Developments by Artificial ...
Publisher: Elsevier
Publication Date: 2022
Binding: Soft cover
Condition: New