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An intelligent analytics system for real-time catchment regulation and water management

Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247, Yuce, Baris, Kwan, Alan ORCID: https://orcid.org/0000-0003-4206-4435 and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 2018. An intelligent analytics system for real-time catchment regulation and water management. IEEE Transactions on Industrial Informatics 14 (9) , pp. 3970-3981. 10.1109/TII.2017.2782338

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Abstract

Regulation procedures and water management that incorporate projected hydrological changes with related uncertainties become extremely important in order to prevent degradation of water ecosystems. Ensuring real time water management and optimization becomes mandatory for resolving the constraints of water supply/demand and to comply with biodiversity requirements.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Additional Information: This is an open access article under the terms of the CC-BY Attribution 4.0 International license.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1551-3203
Date of First Compliant Deposit: 4 January 2018
Date of Acceptance: 6 December 2017
Last Modified: 04 May 2023 15:08
URI: https://orca.cardiff.ac.uk/id/eprint/107876

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Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

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