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This paper explores Axiomatic Design as an approach to configure an optimal meter data management system solution tailored to the client necessities.
Most meter data management systems, on the market, integrate multiple collection systems, calculate billing determinates and do validation, estimation and editing of meter data.
Meter data management (MDM) is a critical component to realizing the potential of smart grids infrastructure and facilitates the distribution of the meter data across the utility enterprise by consolidating reading data from multiple collection systems into one MDM.
When IT departments from utility industry arrive to implement a meter data management solution, it's critical to understand the key features, true system capabilities which distinguish each, and to understand whether those features can perform, minimize the number of functionalities or eliminate redundant functionalities.
meter data management.
Meter data management system (MDMS) use the generated data to forecast future energy demands.
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Relevant data were extracted from onsite meters, data management systems (for example, SAP, Excel) and financial accounts (for example, expenditure data allow backtracking to mass and energy flows).
A third scenario envisages setting up a new organisation to oversee both the meters and data management.
An advanced metering infrastructure is an integrated system of smart meters, communications networks and data management systems designed to support the safe, efficient and reliable distribution of electricity while providing advanced functionality to energy customers.
IBM is pushing for stimulus money to be showered into the utilities, so that they can invest in smart meters and master data-management systems.
On the data management side, Tekelec's services are important in helping to measure and meter how data is used, in both broadband and mobile networks.
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