Sinopsis
Advanced computation solutions transform how industries and organizations optimize energy usage, reduce waste, and minimize environmental impact. By leveraging cutting-edge technologies, these solutions enable real-time monitoring and precise control over energy systems. From smart grids to energy-efficient building management systems, computational tools enable accurate prediction, analysis, and optimization of energy consumption. As the demand for sustainable energy practices grows, advanced computational solutions are becoming indispensable for achieving greater efficiency, lowering costs, and supporting global efforts to combat climate change. These innovations offer promising pathways toward a more sustainable and energy-conscious future. Advanced Computation Solutions for Energy Efficiency examines the intersection of technology and energy management. It explores the role of artificial intelligence and machine learning in analyzing energy consumption patterns and optimizing resource allocation. This book covers topics such as green economics, renewable energy, and fault detection, and is a useful resource for energy scientists, computer engineers, business owners, academicians, and researchers.
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Acerca del autor
Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones. Mourade is member of the member of the scientific committee of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 60 scientific papers and book chapters. Mourade Has edited 2 scientific books “IoT and Smart Devices for Sustainable Environment” and “Advanced Technology for Smart Environment and Energy”. Finally, he has served as guest editor in journals “EAI Endorsed Transactions on Internet of Things”, “Tsinghua Science and Technology”, “Applied Sciences MDPI” and “Sustainability MDPI.”
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Paperback. Condición: new. Paperback. Advanced computation solutions transform how industries and organizations optimize energy usage, reduce waste, and minimize environmental impact. By leveraging cutting-edge technologies, these solutions enable real-time monitoring and precise control over energy systems. From smart grids to energy-efficient building management systems, computational tools enable accurate prediction, analysis, and optimization of energy consumption. As the demand for sustainable energy practices grows, advanced computational solutions are becoming indispensable for achieving greater efficiency, lowering costs, and supporting global efforts to combat climate change. These innovations offer promising pathways toward a more sustainable and energy-conscious future. Advanced Computation Solutions for Energy Efficiency examines the intersection of technology and energy management. It explores the role of artificial intelligence and machine learning in analyzing energy consumption patterns and optimizing resource allocation. This book covers topics such as green economics, renewable energy, and fault detection, and is a useful resource for energy scientists, computer engineers, business owners, academicians, and researchers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337312217
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Taschenbuch. Condición: Neu. Advanced Computation Solutions for Energy Efficiency | Mourade Azrour | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337312217 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 131887067
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