UNKNOWN

As the world moves toward cleaner and more sustainable energy sources, improving the efficiency and reliability of renewable energy systems becomes critical. Technologies like solar panels, wind turbines, and smart grids quickly emerge, while facing challenges like weather unpredictability and energy storage issues. By analyzing massive amounts of data and generating new solutions in real time, generative AI can help optimize energy production, predict equipment failures, and design smarter systems. This combination of renewable energy and advanced AI reveals new possibilities for a more efficient and resilient energy future. Enhancing Renewable Energy Systems With Generative AI explores how generative AI can be leveraged to drive sustainability transformation while mitigating environmental impacts. It examines intelligent technology solutions to address environmental challenges across various sectors. This book covers topics such as financial literacy, data science, and sustainable development, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists.

Reyes Juárez Ramírez is a full time Professor-Researcher, Facultad de Ciencias Quíquimicas e Ingeniería, Universidad Autónoma de Baja California. He received a Ph.D. from the Universidad Autónoma de Baja California (UABC) in 2008, in Computer Science with specialty in Software Engineering. He is currently holding a Full Professor position in UABC, Tijuana campus, Baja California, Mexico. He is the President of the Mexican Network of Software Engineering (REDMIS, ). He is a member of the National System of Researchers of Mexico (SNI), Level 2, and leads several research projects, academic and in collaboration with Industry. His research areas are Software Engineering (uncertainty in agile methodologies, quality improvement in Scrum), Human-Computer Interaction (user-centered design, adaptive user interfaces), and recently he has started working with Quantum Computing. He is the general chair of some national and international events, such as the International Conference in Software Engineering Research and Innovation (CONISOFT). 2. Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE) MS in Computer Science, October 9, 2000. Thesis: “Incomplete information processing as a tool for program optimization and parallelization” (In Spanish, “Procesamiento de información incompleta como herramienta para optimización y paralelización de programas”). 3. Instituto Tecnológico de León (ITL) Bachelor’s in computer systems engineering (In Spanish, Ingeniero en Sistemas Computacionales), February 9, 1996. Graduated with honors: The Best of 1996 Class. Special Honors: Merit for Academic Excellence 1996, Awarded by the National Association of Colleges and Schools of Engineering (In Spanish, Asociación Nacional de Facultades y Escuelas de Ingeniería -ANFEI). Certifications: 1. Scrum Product Owner Certified (SPOC). International Scrum Institute. License Issued April 2019. 2. Scrum Master Accredited Certification (SMAC). International Scrum Institute. License Issued April 2019.

Dr. Abhishek Kumar is currently working as an Assistant director /Associate professor in the Computer science & Engineering Department in Chandigarh University, Punjab, India. He holds a Doctorate in computer science from University of Madras and is a Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He has more than 170 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 51 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He is serving as Series Editor for four books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age with Degruyter Germany, AI for environment Sustainability with Degruyter Germany.

Dr. Pramod Singh Rathore is an Assistant Professor at the Department of Computer and Communication Engineering, Manipal University Jaipur. He has completed his Ph. D. in Computer Science & Engineering from the University of Engineering and Management, Jaipur (UEM) and done M. Tech in Computer Sci. & Engineering from the Government Engineering College Ajmer, Rajasthan Technical University, Kota, India. With over 13 years of academic teaching experience, he has published more than 95 papers in reputable, peer-reviewed national and international journals, books, and conferences, including Wiley, IGI GLOBAL, Taylor & Francis, Springer, Elsevier Science Direct, Annals of Computer Science, and IEEE. He has co-authored and edited numerous books with well-known publishers such as Wiley, CRC Press, and USA. His research interests include computer networks, data mining, and DBMS. He is a senior member of IEEE. Heal so serves on the editorial and advisory committees of the Global Journal Group. He is also a member of various national and international professional societies in engineering and research, including the ACM and the International Association of Engineers (IAENG).