A Temporal Forecasting Driven Approach Using Facebook’s Prophet Method for Anomaly Detection in Sewer Air Temperature Sensor System

Thiyagarajan, K

Kodagoda, S Ulapane, N Prasad, M

Permalink

Open Access

Copyright Clearance Process

This item is open access.

The embargo period expires on 22 Jun 2022

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Thiyagarajan, K https://orcid.org/0000-0002-4044-1711	en_US
dc.contributor.author	Kodagoda, S	en_US
dc.contributor.author	Ulapane, N	en_US
dc.contributor.author	Prasad, M	en_US
dc.date	2020-06-21	en_US
dc.date.accessioned	2020-03-19T22:09:27Z
dc.date.available	2020-03-19T22:09:27Z
dc.date.issued	2020-06-21	en_US
dc.identifier.citation	2020	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139422
dc.relation.ispartof	2020 15th IEEE Conference on Industrial Electronics and Applications	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A Temporal Forecasting Driven Approach Using Facebook’s Prophet Method for Anomaly Detection in Sewer Air Temperature Sensor System	en_US
dc.type	Conference Proceeding
utslib.location.activity	Kristiansand, Norway	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	false	en_US
utslib.copyright.embargo	2022-06-22T00:00:00+1000
pubs.finish-date	2020-06-25	en_US
pubs.publication-status	Accepted	en_US
pubs.start-date	2020-06-21	en_US

Please use this identifier to cite or link to this item: