[UC25] Analysis for Minimizing Quantities of IoT & Meter Devices

The Utility Problem

With the development and adaptation of new metering devices, such as smart meters and other IoT devices, the value that can be obtained from the deployment of these devices is rising. If data from these devices is handled properly, this data can help utilities gain a better understanding of the grid and optimize the grid based on that. In order to achieve benefits as soon as possible, it is smart to pick the locations where the deployment of these devices will have the most significant impact. Thus, the value of these devices will be maximized.

Let’s take, for example, smart meters – in some service areas, the implementation of smart meters is almost complete, but in some service areas, the deployment is just beginning. In these areas, utilities have to decide what the best approach is for the deployment of these smart meters at consumption points. In some service areas, this is a legislative requirement, in others, it is a free choice – there might be some options for deployment strategies.

However, it is not only smart meters but also other IoT devices. The deployment of these devices can take place independently of the smart meter deployment strategy, but the data can be used and therefore, additional measurement points can be obtained from the grid.

Analyzing where the deployment of the IoT or smart metering device will have maximal value is a very important process since it helps get the most out of the investment.

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