Computing

Microgrid Edge Computing

This paper presents a systematic review of edge computing in energy distribution systems, examining its architectures, methodologies, and real-world applications. . Edge computing enables localized data processing, which significantly reduces latency and optimizes bandwidth usage. The machine learning models and control algorithms are directly deployed on an edge-computing device (a smart meter-concentrator) in the microgrid. . Microgrids contain diverse and adjustable power components, making the power system complex and difficult to optimize. In areas prone to power outages or lacking robust grid. . The power grid is changing fast. More renewable energy, electric vehicles, and the need for better resilience are driving a shift to the smart grid. But the huge amount of data from smart. .

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