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".

• Part I – Foundations and Emerging Paradigms1. Introduction: Artificial Intelligence for Next Generation Energy Systems Overview of AI techniques, energy transition challenges, digital transformation, and book roadmap2. Machine Learning and Deep Learning in Energy Applications Fundamental algorithms, supervised/unsupervised learning, neural networks, reinforcement learning for forecasting and optimization3. Big Data Analytics and Energy Intelligence Data-driven modeling, cloud and edge computing, handling high-dimensional datasets in energy systems4. Quantum Computing for Future Energy Systems Role of quantum algorithms in optimization, simulation, and secure energy tradingPart II – AI in Energy Infrastructure5. Smart Grids and Intelligent Distribution Systems AI for grid monitoring, dynamic pricing, fault detection, and grid automation6. Renewable Energy Forecasting, PV System Optimization, and Integration in Smart Grids Solar/wind energy prediction models, hybrid approaches, uncertainty management in renewable-heavy grids including challenges of high renewable penetration and energy communities with distributed PV systems7. AI for Energy Storage, Home Energy Management Systems, and Intelligent Control Intelligent charging/discharging strategies, HEMS, demand-side optimization, predictive maintenance, and energy resilience8. IoT, Edge, and Cloud AI in Energy Systems Cyber-physical integration, real-time decision-making, digital twins for power systemsPart III – Security, Sustainability, and Society9. Cybersecurity in AI-driven Energy Systems Threat modeling, anomaly detection, adversarial AI, and blockchain-based solutions10. AI for Energy Market Optimization, Energy Communities, and Trading Bidding strategies, demand response, peer-to-peer (P2P) energy trading, energy communities, optimization-based methodologies , advanced energy management models, transactive energy systems, and AI-driven energy market optimization11. AI-based optimization of photovoltaic (PV) systems under high renewable penetration and energy community scenarios Equitable energy access, decarbonization, carbon footprint reduction with intelligent systems12. Ethics, Policy, and Societal Impact of AI in Energy Responsible AI, inclusivity, and regulation in global energy transitionsPart IV – Case Studies and Future Directions13. Case Studies: Global Perspectives on AI in Energy Real-world deployments from Asia, Africa, Europe, and the Americas14. Future Trends and Challenges in AI for Energy Systems Digital twins, human-AI collaboration, emerging algorithms, advanced optimization techniques and next-generation energy management models and next-decade research agenda

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".

• Part I – Foundations and Emerging Paradigms1. Introduction: Artificial Intelligence for Next Generation Energy Systems Overview of AI techniques, energy transition challenges, digital transformation, and book roadmap2. Machine Learning and Deep Learning in Energy Applications Fundamental algorithms, supervised/unsupervised learning, neural networks, reinforcement learning for forecasting and optimization3. Big Data Analytics and Energy Intelligence Data-driven modeling, cloud and edge computing, handling high-dimensional datasets in energy systems4. Quantum Computing for Future Energy Systems Role of quantum algorithms in optimization, simulation, and secure energy tradingPart II – AI in Energy Infrastructure5. Smart Grids and Intelligent Distribution Systems AI for grid monitoring, dynamic pricing, fault detection, and grid automation6. Renewable Energy Forecasting, PV System Optimization, and Integration in Smart Grids Solar/wind energy prediction models, hybrid approaches, uncertainty management in renewable-heavy grids including challenges of high renewable penetration and energy communities with distributed PV systems7. AI for Energy Storage, Home Energy Management Systems, and Intelligent Control Intelligent charging/discharging strategies, HEMS, demand-side optimization, predictive maintenance, and energy resilience8. IoT, Edge, and Cloud AI in Energy Systems Cyber-physical integration, real-time decision-making, digital twins for power systemsPart III – Security, Sustainability, and Society9. Cybersecurity in AI-driven Energy Systems Threat modeling, anomaly detection, adversarial AI, and blockchain-based solutions10. AI for Energy Market Optimization, Energy Communities, and Trading Bidding strategies, demand response, peer-to-peer (P2P) energy trading, energy communities, optimization-based methodologies , advanced energy management models, transactive energy systems, and AI-driven energy market optimization11. AI-based optimization of photovoltaic (PV) systems under high renewable penetration and energy community scenarios Equitable energy access, decarbonization, carbon footprint reduction with intelligent systems12. Ethics, Policy, and Societal Impact of AI in Energy Responsible AI, inclusivity, and regulation in global energy transitionsPart IV – Case Studies and Future Directions13. Case Studies: Global Perspectives on AI in Energy Real-world deployments from Asia, Africa, Europe, and the Americas14. Future Trends and Challenges in AI for Energy Systems Digital twins, human-AI collaboration, emerging algorithms, advanced optimization techniques and next-generation energy management models and next-decade research agenda

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".

• Part I – Foundations and Emerging Paradigms1. Introduction: Artificial Intelligence for Next Generation Energy Systems Overview of AI techniques, energy transition challenges, digital transformation, and book roadmap2. Machine Learning and Deep Learning in Energy Applications Fundamental algorithms, supervised/unsupervised learning, neural networks, reinforcement learning for forecasting and optimization3. Big Data Analytics and Energy Intelligence Data-driven modeling, cloud and edge computing, handling high-dimensional datasets in energy systems4. Quantum Computing for Future Energy Systems Role of quantum algorithms in optimization, simulation, and secure energy tradingPart II – AI in Energy Infrastructure5. Smart Grids and Intelligent Distribution Systems AI for grid monitoring, dynamic pricing, fault detection, and grid automation6. Renewable Energy Forecasting, PV System Optimization, and Integration in Smart Grids Solar/wind energy prediction models, hybrid approaches, uncertainty management in renewable-heavy grids including challenges of high renewable penetration and energy communities with distributed PV systems7. AI for Energy Storage, Home Energy Management Systems, and Intelligent Control Intelligent charging/discharging strategies, HEMS, demand-side optimization, predictive maintenance, and energy resilience8. IoT, Edge, and Cloud AI in Energy Systems Cyber-physical integration, real-time decision-making, digital twins for power systemsPart III – Security, Sustainability, and Society9. Cybersecurity in AI-driven Energy Systems Threat modeling, anomaly detection, adversarial AI, and blockchain-based solutions10. AI for Energy Market Optimization, Energy Communities, and Trading Bidding strategies, demand response, peer-to-peer (P2P) energy trading, energy communities, optimization-based methodologies , advanced energy management models, transactive energy systems, and AI-driven energy market optimization11. AI-based optimization of photovoltaic (PV) systems under high renewable penetration and energy community scenarios Equitable energy access, decarbonization, carbon footprint reduction with intelligent systems12. Ethics, Policy, and Societal Impact of AI in Energy Responsible AI, inclusivity, and regulation in global energy transitionsPart IV – Case Studies and Future Directions13. Case Studies: Global Perspectives on AI in Energy Real-world deployments from Asia, Africa, Europe, and the Americas14. Future Trends and Challenges in AI for Energy Systems Digital twins, human-AI collaboration, emerging algorithms, advanced optimization techniques and next-generation energy management models and next-decade research agenda