Smart Asset Management for Electric Utilities

Big Data and Future

Conference Paper (2019)
Author(s)

Swasti Khuntia (TU Delft - Intelligent Electrical Power Grids)

José Luis Rueda Rueda (TU Delft - Intelligent Electrical Power Grids)

Mart van der Meijden (TU Delft - Intelligent Electrical Power Grids, TenneT TSO B.V.)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1007/978-3-319-95711-1_31
More Info
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Publication Year
2019
Language
English
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
311-322
ISBN (print)
978-3-319-95710-4
ISBN (electronic)
978-3-319-95711-1

Abstract

This paper discusses about future challenges in terms of big data and new technologies. Utilities have been collecting data in large amounts but they are hardly utilized because they are huge in amount and also there is uncertainty associated with it. Condition monitoring of assets collects large amounts of data during daily operations. The question arises “How to extract information from large chunk of data?” The concept of “rich data and poor information” is being challenged by big data analytics with advent of machine learning techniques. Along with technological advancements like Internet of Things (IoT), big data analytics will play an important role for electric utilities. In this paper, challenges are answered by pathways and guidelines to make the current asset management practices smarter for the future.

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