Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore

iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society

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Bibliographic Details
Main Authors:	Galelli, S., Caietti Marin, S., Castelletti, A., Eikaas, H.
Other Authors:	SINGAPORE-DELFT WATER ALLIANCE
Format:	Conference or Workshop Item
Published:	2016
Subjects:	Data-driven models Dynamic emulation modelling Physically-based models Time series clustering Variable selection
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/128684
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-128684
record_format	dspace
spelling	sg-nus-scholar.10635-1286842024-11-14T09:56:38Z Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore Galelli, S. Caietti Marin, S. Castelletti, A. Eikaas, H. SINGAPORE-DELFT WATER ALLIANCE Data-driven models Dynamic emulation modelling Physically-based models Time series clustering Variable selection iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society 317-324 2016-10-19T08:44:01Z 2016-10-19T08:44:01Z 2012 Conference Paper Galelli, S., Caietti Marin, S., Castelletti, A., Eikaas, H. (2012). Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore. iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society : 317-324. ScholarBank@NUS Repository. 9788890357428 http://scholarbank.nus.edu.sg/handle/10635/128684 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Data-driven models Dynamic emulation modelling Physically-based models Time series clustering Variable selection
spellingShingle	Data-driven models Dynamic emulation modelling Physically-based models Time series clustering Variable selection Galelli, S. Caietti Marin, S. Castelletti, A. Eikaas, H. Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore
description	iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society
author2	SINGAPORE-DELFT WATER ALLIANCE
author_facet	SINGAPORE-DELFT WATER ALLIANCE Galelli, S. Caietti Marin, S. Castelletti, A. Eikaas, H.
format	Conference or Workshop Item
author	Galelli, S. Caietti Marin, S. Castelletti, A. Eikaas, H.
author_sort	Galelli, S.
title	Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore
title_short	Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore
title_full	Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore
title_fullStr	Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore
title_full_unstemmed	Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore
title_sort	improved dynamic emulation modeling by time series clustering: the case study of marina reservoir, singapore
publishDate	2016
url	http://scholarbank.nus.edu.sg/handle/10635/128684
_version_	1821193951467536384

Improved dynamic emulation modeling by time series clustering: The case study of Marina Reservoir, Singapore

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