“Edge computing is the practice of processing data at the edge of a network, near the source of the data. In the context of a distributed electrical grid, edge computing can provide several benefits.
“One benefit is that it can help to reduce latency. In a traditional centralized computing model, data must be sent to a central location for processing, which can take time. By processing data at the edge of the network, closer to the source, the time it takes to transmit and process the data can be reduced. This can be especially important in the case of a distributed electrical grid, where real-time data is critical for maintaining stability and reliability.
“Another benefit of edge computing in the context of a distributed electrical grid is that it can help to improve the reliability and resiliency of the system. By distributing computing resources throughout the grid, it is possible to build in redundancies that can help to prevent outages or other disruptions. For example, if one part of the grid goes down, the edge computing resources in that area can help to keep the system running until the issue is resolved.
“Overall, edge computing can help to improve the efficiency, reliability, and resiliency of a distributed electrical grid. It can provide a way to process data closer to the source, reducing latency and improving the timeliness of data-driven decision making. It can also help to improve the reliability and resiliency of the system by distributing computing resources throughout the grid.”
[The artificial intelligence behind ChatGPT gets it – do you?]
