How Edge Computing Is Powering the Future of Energy
As the energy sector faces rising AI adoption, cyber threats, and unpredictable disruptions, real-time data access is more critical than ever: Edge computing is emerging as a
As the energy sector faces rising AI adoption, cyber threats, and unpredictable disruptions, real-time data access is more critical than ever: Edge computing is emerging as a
However, most existing edge computing systems suffer from inefficiencies in energy utilization and resource allocation, limiting their effectiveness in real-time IoT
As a strategy to alleviate resource congestion escalation, edge computing has become a new paradigm for addressing the needs of the Internet of Things and localization
The development of Artificial Intelligence (AI) has changed various industries, leading to an unprecedented demand for computing. The massive computing load and high
For the three typical scenarios of UPIoT, namely power monitoring system, smart energy system and power metering system, the edge computing architecture of the three
This article presents an integrated framework combining 5G-enhanced edge computing with digital twin technology for energy-intensive industrial systems. The proposed
Edge intelligent computing has received extensive attention from all walks of life and is widely used in many application scenarios. Recently, edge intelligent computing technique
In this article, we focus on designing an IoT-based energy management system based on edge computing infrastructure with deep reinforcement learning. First, an overview of
This chapter reviews edge computing and artificial intelligence (AI) applications in digitalized energy infrastructures, addressing data processing challenges in smart grids and
For the three typical scenarios of UPIoT, namely power monitoring system, smart energy system and power metering system, the edge computing architecture of the three
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These capabilities enhance the resilience and intelligence of modern energy systems. This paper presents a systematic review of edge computing in energy distribution systems, examining its architectures, methodologies, and real-world applications.
Moreover, one of the contributions of this paper is to analyze the technical application of edge computing in the three power Internet of Things scenarios: power monitoring system, smart energy system, and power metering system. It also gives the architecture of the edge computing in the three scenarios.
This paper presents a systematic review of edge computing in energy distribution systems, examining its architectures, methodologies, and real-world applications. Key application areas consist of real-time data transmission, smart metering, microgrid management, anomaly and fault detection, state estimation, and energy management.
The edge computing architecture for the smart energy system is shown in Figure 6. The architecture consists of three layers: device layer, edge layer, and cloud layer. The cloud layer takes the cloud platform as the core and provides various cloud services.