Ali Almansoori – författare

Artificial Intelligence in Clean Energy Systems: From Energy Hubs to Smart Grids investigates the integration of AI and machine learning into future clean and modern energy systems, focusing on applying such technologies to optimal operation of energy hubs, smart grids, and efficient utilization of renewable energy sources. The book provides an in-depth overview of AI-based forecasting techniques, optimization, automation, and control approaches that enhance energy efficiency and sustainability in modern energy systems. It presents significant issues such as AI-based load demand forecasting, smart grid automation, integration of renewable energy, cybersecurity, and electric vehicle charging demand schedulingCovers AI-driven forecasting, optimization and automation techniques specifically tailored for energy hubs and smart gridIncludes industry case studies and real-world implementations of AI in clean energy systems, helping readers bridge theory with practiceExplores the latest advancements in AI, machine learning, and deep learning for energy management, making it a valuable resource for researchers and professionalsProvides AI-based solutions to key energy challenges such as demand forecasting, grid stability, renewable energy integration, and cybersecurity

This book brings together cross-disciplinary research on carbon capture, utilization, and storage (CCUS) to examine the impact of implementing CCUS tools and technologies on emissions reduction and sustainable development in cities and large metropolitan areas. An expert group of global contributors provides in-depth technical discussions, case studies, and examples with an emphasis on the worldwide application of the latest developments in technology, protocols, implementation, and application of CCUS in power and energy systems.Carbon Capture, Utilization, and Storage Technologies: Towards More Sustainable Cities is an essential multidisciplinary reference for researchers and industry practitioners from engineering, energy, computer science, data science, economics, and operational research working in the energy and environmental fields.

This book brings together cross-disciplinary research on carbon capture, utilization, and storage (CCUS) to examine the impact of implementing CCUS tools and technologies on emissions reduction and sustainable development in cities and large metropolitan areas. An expert group of global contributors provides in-depth technical discussions, case studies, and examples with an emphasis on the worldwide application of the latest developments in technology, protocols, implementation, and application of CCUS in power and energy systems.Carbon Capture, Utilization, and Storage Technologies: Towards More Sustainable Cities is an essential multidisciplinary reference for researchers and industry practitioners from engineering, energy, computer science, data science, economics, and operational research working in the energy and environmental fields. 

This book brings together cross-disciplinary research on carbon capture, utilization, and storage (CCUS) to examine the impact of implementing CCUS tools and technologies on emissions reduction and sustainable development in cities and large metropolitan areas. An expert group of global contributors provides in-depth technical discussions, case studies, and examples with an emphasis on the worldwide application of the latest developments in technology, protocols, implementation, and application of CCUS in power and energy systems.Carbon Capture, Utilization, and Storage Technologies: Towards More Sustainable Cities is an essential multidisciplinary reference for researchers and industry practitioners from engineering, energy, computer science, data science, economics, and operational research working in the energy and environmental fields.

This book offers an extensive examination of the operational and strategic considerations for sustainable energy within the context of smart cities, incorporating cutting-edge advancements in technology, protocols, implementation strategies, and the utilization of energy resources. It examines recent sustainability strategies formulated by various nations emphasizing worldwide application, accompanied by a thorough analysis of economic, technical, and environmental dimensions. The authors present a comprehensive exploration of energy provisioning and administration, underscoring the deployment of data analysis methodologies and tools, such as machine learning and deep learning-based approaches for practical energy management studies. Additionally, it showcases the application of mathematical programming in modeling real-world case studies, leveraging optimization techniques that have broad-reaching global relevance.Presents the latest developments in the application of sustainable energy resources in smart cities;Showcases machine learning and deep learning-based approaches for practical energy management;Includes international case studies.