Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition

10.1145/3563357.3566147

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Main Authors: Fu, C, Arjunan, P, Miller, C
Other Authors: BUILDING
Format: Conference or Workshop Item
Published: ACM 2023
Online Access:https://scholarbank.nus.edu.sg/handle/10635/236539
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2365392024-03-26T04:01:13Z Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition Fu, C Arjunan, P Miller, C BUILDING 10.1145/3563357.3566147 BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 456-461 2023-01-30T01:11:26Z 2023-01-30T01:11:26Z 2022-11-09 2023-01-29T12:05:33Z Conference Paper Fu, C, Arjunan, P, Miller, C (2022-11-09). Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition. BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation : 456-461. ScholarBank@NUS Repository. https://doi.org/10.1145/3563357.3566147 9781450398909 https://scholarbank.nus.edu.sg/handle/10635/236539 ACM Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1145/3563357.3566147
author2 BUILDING
author_facet BUILDING
Fu, C
Arjunan, P
Miller, C
format Conference or Workshop Item
author Fu, C
Arjunan, P
Miller, C
spellingShingle Fu, C
Arjunan, P
Miller, C
Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition
author_sort Fu, C
title Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition
title_short Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition
title_full Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition
title_fullStr Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition
title_full_unstemmed Trimming outliers using trees: Winning solution of the Large-scale Energy Anomaly Detection (LEAD) competition
title_sort trimming outliers using trees: winning solution of the large-scale energy anomaly detection (lead) competition
publisher ACM
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/236539
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