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Fausto Pedro Garcia Marquez, Mariya Ouaissa, Hemant Kumar Saini, Mariyam Ouaissa - Artificial Intelligence for Next-Generation Energy Systems, Häftad

Häftad, Engelska, 2027

Artificial Intelligence for Next-Generation Energy Systems

Sustainable, Secure, and Intelligent Solutions

Av Fausto Pedro Garcia Marquez, Mariya Ouaissa, Hemant Kumar Saini, Mariyam Ouaissa

Del i serien Advances in Intelligent Energy Systems

2148 kr

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Beskrivning
Artificial Intelligence for Next-Generation Energy Systems: Sustainable, Secure, and Intelligent Solutions provides guidance on leveraging A.I. to address challenges for renewable integration in modern energy systems. The increasing complexity of modern power systems creates a need for intelligent, scalable, and adaptive solutions. This book distinguishes itself by consolidating AI-driven innovations and advances, technical insights, and practical industrial case studies to enable readers to create these effective solutions.

Chapters review innovative technologies including machine learning, deep learning, optimization, and big data analytics to enable intelligent forecasting and fault detection. Case studies demonstrate the application of these technologies for renewable energy integration, electric vehicle integration, and energy storage and distribution, and common challenges such as rid resilience, demand forecasting, and cyber-secure energy management. The book's diverse range of authorship presents challenges and solutions for energy systems across a variety of geographic regions and infrastructures. Social, ethical considerations, and future challenges for the integration of A.I. into energy systems are also included.

This book is valuable for academics, researchers, professors, and graduate students working on artificial intelligence, energy engineering, and sustainable technologies. Industry professionals developing next-generation energy systems in labs, universities, and technical institutes will also benefit from this volume.

. Presents comprehensive, research-oriented guidance on A.I. for designing intelligent renewable energy systems
. Demonstrates practical deployment of intelligent energy systems through case studies
. Provides a framework for strategic decision-making and solutions for energy efficiency, cost reduction, and sustainability
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Fausto Pedro García Márquez works as a Professor and as Director of the Ingenium Research Group at the Universidad De Castilla-La Mancha, Spain. He is an Honorary Senior Research Fellow at Birmingham University, UK, and a Lecturer at the Postgraduate European Institute. He has published numerous papers and books with international publishers of repute, and has been involved as a principal investigator in numerous international projects. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, and Data Science. Mariya Ouaissa is a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She received her PhD in Computer Science and Networks from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She also was a visiting professor at the School of Technology of Meknes Morocco. Dr. Ouaissa is member of the International Association of Engineers and International Association of Online Engineering. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. Hemant Kumar Saini is an academic at the School of Computer Science & Engineering, Bennett University (The Times Group), Greater Noida, India, and at Lincoln University, Malaysia. His research interests include digital transformation technologies such as artificial intelligence (AI), quantum computing, the Internet of Things (IoT), blockchain, aerial vehicles, ad-hoc networks, digital twins, and edge and serverless computing, including cloud-native computing. Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree from National School of Applied Sciences, Khouribga, Morocco. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. She is also a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and she is an "ACM Professional Member".

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