Dictionary | Cegal

AMS

Written by Editorial staff | Jan 28, 2022 12:15:55 PM
What is AMS?

AMS is an abbreviation for “Advanced Measurement Systems”. The new electricity meters are also referred to by many other names: smart meter, energy meter, digital electricity meter and so on.

AMS digitalize electricity supply and the energy market. This means that AMS is the entry ticket to smart homes, sustainable towns and cities, and less “fuss” in life. AMS makes it possible to sell electricity generated by solar panels on your roof or charge your car when electricity is cheapest.

The Norwegian Water Resources and Energy Directorate (NVE) has decided that all Norwegian homes and buildings should have smart electricity meters (AMS) by 1 January 2019.

First and foremost, the meters are seen as a tool for automatic billing and reading of electricity consumption using hourly values. However, they can perform a wide variety of additional functions, as explained above. AMS facilitates other added value through the utilization of real-time data, and presents an opportunity to develop good databases for historical key data from the distribution grid.

Data such as this will provide the grid companies with a better basis for making decisions regarding operation and investments. This will be crucial in the development of a smarter, more flexible and more environmentally friendly energy system, and ensure that investments in the grid are carried out as effectively and optimally for society as possible.

For end customers, AMS will initially mean automatic reading of their electricity consumption, eliminating the need to report meter readings. Consumers also learn more about their own electricity consumption.

Cegal and AMS

The data that is collected through AMS can be used to give a precise insight into the electricity distribution grid. Cegal helps you to get more out of the AMS data, and enables you to make your company both more efficient and more competitive. We also help our customers to link the AMS date to other sources, such as structure data from the distribution grid and information from customer information systems (CIS).

We use Microsoft Azure and Microsoft Power BI to analyse and detect fault situations such as faulty connections and voltage deviations and perform grid calculations. Our solutions also help to improve data quality across the systems.

 

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