Asset Data Cleansing
Asset Data Cleansing is a systematic process within asset data management that identifies, corrects, and eliminates inaccuracies, inconsistencies, redundancies, and incompleteness in asset-related data to ensure its reliability, integrity, and usability for decision-making and operational purposes.
1
Publications
11
Citations
4
Authors
2
Institutions
Publications per year
2017–2026
0
Parents
1
Cloud-Based Platform for Photovoltaic Assets Diagnosis and Maintenance
Andreas Livera, Georgios Tziolis, Jose Garcia Franquelo et al. · Energies · 2022 · 13 citations · Full text
1–4 of 1
4
1
h-index
1
h-index
1
h-index
1
h-index
0
h-index
1–5 of 4
2
Rochester Institute of Technology
Rochester, United States
1 h-index
1 publications
11 citations

University of South Australia
Adelaide, Australia
1 h-index
3 publications
33 citations
University of Cyprus
Nicosia, Cyprus
1 publications
13 citations
Hanbat National University
Daejeon, South Korea
1 publications
11 citations
Korea Electric Power Corporation (South Korea)
Naju, South Korea
1 publications
11 citations
1–5 of 2
Conference · 1 publications · 11 citations
1
h-index
1 publications · 13 citations
Repository · 1 publications · 10 citations
1–3