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- W4387039612 abstract "The ability to make decisions relating to a power network requires a large amount of data and knowledge. Network operators will often have a number of systems that hold data relating to the asset base and the network, with limited visibility of data outside of these systems. Asset managers may also hold data and information about the assets for which they are responsible. Often this data is not visible within the organisation or readily available for use and analysis across the organisation. This can reduce the ability of the asset managers to fully understand the condition of the asset base and the and risk posed by the assets if they fail. The use of a central data repository can allow this data to be fully utilised and enable asset managers to use risk-based methodologies to fully understand the value of their assets and to easily communicate this across the organisation. This paper discusses the use of a data lake approach to maximise the use of existing data to embark on a modern risk-informed approach to asset management that can be enhanced as the approach matures." @default.
- W4387039612 created "2023-09-27" @default.
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- W4387039612 date "2023-01-01" @default.
- W4387039612 modified "2023-09-27" @default.
- W4387039612 title "Making the most of existing data - a data lake approach to risk quantification" @default.
- W4387039612 doi "https://doi.org/10.1049/icp.2023.0829" @default.
- W4387039612 hasPublicationYear "2023" @default.
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