@inproceedings{d1bec1852da843b2a5b92867185ac740,
title = "Smart Asset Management for Electric Utilities: Big Data and Future",
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.",
keywords = "Asset management, Big Data, electric power, transmission and distribution, Big data analysis",
author = "Khuntia, {Swasti R.} and Rueda, {Jose L.} and {van der Meijden}, {Mart A.M.M.}",
year = "2019",
doi = "10.1007/978-3-319-95711-1_31",
language = "English",
isbn = "978-3-319-95710-4",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer",
pages = "311--322",
editor = "Joseph Mathew and C.W. Lim and Lin Ma and Don Sands and Cholette, {Michael E.} and Pietro Borghesani",
booktitle = "Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies",
}