Show simple item record

Near Real-Time Burst Detection Method Based on Multistep Forecasting Scheme and Local Residual Discrepancy

dc.contributor.authorWan, X.
dc.contributor.authorFarmani, R.
dc.contributor.authorKeedwell, E.
dc.contributor.authorZhou, X.
dc.date.accessioned2026-08-20T21:05:22Z
dc.date.available2026-08-20T21:05:22Z
dc.date.copyright2025/06/12
dc.date.issued2025
dc.identifier.otherJWRMD5.WRENG-6850.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313932
dc.description.abstractAbstractOnline detection of burst events based on flow time series data is an efficient and cost-effective way to monitor the water distribution system. However, the effectiveness of anomaly detection algorithms can vary depending on the dataset, as the ...
dc.publisherAmerican Society of Civil Engineers
dc.titleNear Real-Time Burst Detection Method Based on Multistep Forecasting Scheme and Local Residual Discrepancy
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue8
dc.journal.titleJournal of Water Resources Planning and Management
dc.identifier.doi10.1061/JWRMD5.WRENG-6850
dc.journal.fristpage04025033-1
dc.journal.lastpage04025033-13
dc.page13
dc.treeJournal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 008
dc.contenttypeFulltext


Files in this item

Thumbnail
Name:
JWRMD5.WRENG-6850.pdf
Size:
3.232Mb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record