Smart City Gnosys

Smart city article details

Title	Empowering Tomorrow'S Cities: Navigating Power Challenges Through Deep Learning Solutions
ID_Doc	22954
Authors	Priyadarsini K.; Karthik S.; Tamilarasi R.
Year	2024
Published	8th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2024 - Proceedings
DOI	http://dx.doi.org/10.1109/ICECA63461.2024.10800978
Abstract	This review, titled 'Empowering Tomorrow's Cities: Navigating Power Challenges through Deep Learning Solutions,' explores the intersection of power management issues and the trans-formative potential of deep learning technologies. It addresses the growing challenges of energy consumption, grid reliability, and peak demand, emphasizing deep learning's vital role in optimizing power usage. The article provides a detailed overview of smart cities, highlighting the importance of efficient power management for their continued development. By presenting deep learning as a groundbreaking solution, it examines its applications in real-time monitoring, predictive analytics, and demand forecasting. Through case studies, the review showcases successful deep learning implementations in tackling specific power challenges. It also explores the integration of IoT with deep learning, emphasizing their synergy in advancing data-driven decision-making. Critical aspects like data security and privacy are discussed, ensuring a thoughtful approach to managing sensitive data for optimized power distribution. Looking ahead, the article envisions future trends and innovations, stressing the need for ongoing research to fully harness deep learning in addressing power challenges in smart cities. © 2024 IEEE.
Author Keywords	Deep learning techniques; IOT; Smart cities

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