CHF 256.00

Energy-Efficient Transformative Technologies for Data-Driven Smart Cities

Inglese · Tascabile

Spedizione di solito entro 3 a 5 settimane

Descrizione

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Energy-Efficient Transformative Technologies for Data-Driven Smart Cities delves into innovative solutions and groundbreaking methodologies essential for constructing smart cities that prioritize energy efficiency and security. With the modern urban landscape rapidly evolving, this book serves as a vital resource for policymakers, engineers, and researchers striving to harness data-driven technologies effectively. From sustainable energy systems to advanced data management frameworks, this comprehensive guide explores pivotal tools and strategies that address the challenges of urbanization and environmental impact.

Beyond energy efficiency, the book emphasizes the importance of robust cybersecurity measures, seamless integration of IoT devices, and intelligent urban planning. It offers actionable insights for achieving smart city infrastructures that are both resilient and adaptive.


Info autore

Hamed Nozari is an Assistant Professor in the Department of Management at Azad University, Dubai. His resource interests are in digital developments and smart systems and optimizationReza Tavakkoli-Moghaddam is a Professor of Industrial Engineering at the College of Engineering in the University of Tehran, Iran. He received the Order of Academic Palms Award for a distinguished educator and scholar and the insignia of Chevalier dans l'Ordre des Palmes Academiques from the Ministry of National Education, France in 2019.

Dettagli sul prodotto

Con la collaborazione di Nozari Hamed (Editore), Reza Tavakkoli-Moghaddam (Editore)
Editore Elsevier
 
Lingue Inglese
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 21.11.2025
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Termotecnica, tecnica energetica ed elettrica
 
EAN 9780443276187
ISBN 978-0-443-27618-7
Dimensioni (della confezione) 15.2 x 22.9 cm
Peso (della confezione) 430 g
 
Categorie Smart City, Edge Computing, TECHNOLOGY & ENGINEERING / Power Resources / Electrical, Electrical Engineering, Energy Efficiency, Energy Harvesting, Energy, power generation, distribution and storage, Electric motors, wireless sensor network, WSN, cross-layer optimization, Energy-efficient Wireless Sensor Network, Energy-efficient WSN, smart city energy management
 

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