A deep learning and IoT-driven framework for real-time
Smart grids using deep learning and IoT-based energy management systems may minimize energy waste by dynamically allocating resources based on real-time data 20, 21.
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Thanks to the IoT, the conventional power system network can be transformed into an effective and smarter energy grid. In this article, we review the architecture and functionalities of IoT-enabled smart energy grid systems.
A smart grid project implemented in Mannheim, Germany, used IoT infrastructure and technology solutions to coordinate energy use and production. The project supported the widespread use of renewable energy. The Lumin energy management platform is built for integrating smart grid IoT applications with home automation systems.
The IoT-based smart grid has gained popularity manifold in the last couple of years and includes the following essential elements: Smart grid sensors and meters record energy use data, while the sensors in smart appliances continuously create and report status, enabling monitoring and control.
This refers to the Internet of Things-assisted smart grid system, which supports and develops several network utilities in the power sector. A comprehensive state-of-the-art review of IoT-assisted SG systems, along with a number of issues that must be solved through extensive research and prototyping has been presented in this paper.
Smart grids using deep learning and IoT-based energy management systems may minimize energy waste by dynamically allocating resources based on real-time data 20, 21.
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A smart grid is an electricity network built on digital technology that supplies electricity to end-users through a two-way communication network. This article introduces us to how IoT plays a
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Based on recent surveys and literature, we observe that the security vulnerabilities related to IoT technologies have been attributed as one of the major concerns of IoT-enabled energy
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Explore IoT applications in smart grid systems, enhancing energy efficiency, real-time monitoring, and smart power management for a sustainable future.
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Efficient power distribution methods with AI-IoT and ML-based methodologies are explained, along with power quality checking, smart intelligence-based control, and intelligent power and energy
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The main concerns, future challenges, and research gaps of IoT-assisted smart grid systems are highlighted in detail. Based on this review, key findings are concluded to pave the path
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IoT-based smart grid systems enable proactive maintenance and quick responses to outages, improving the grid''s resilience. Additionally, the integration of IoT allows consumers to track and manage their
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IoT-based smart grid systems are pivotal in transforming the energy sector, offering enhanced efficiency and reliability. The integration of IoT leads to smarter energy management,
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The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers numerous cutting-edge solutions in various domains including the critical infrastructures. Thanks to
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This review paper examines the integration and impact of the Internet of Things (IoT) in smart grid technology, focusing on key implementations across the energy sector. These include
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