Explainable Methods for Water Demand Forecasting as a Key Aspect of Trustworthy Artificial Intelligence-Reference-Cited by-同舟云学术

Explainable Methods for Water Demand Forecasting as a Key Aspect of Trustworthy Artificial Intelligence

Published:2024-09-02 Issue: Volume:140 Page:32
ISSN:
Container-title:The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024)
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Author:

Maußner Claudia¹^ORCID,Oberascher Martin²^ORCID,Autengruber Arnold³,Kahl Arno³^ORCID,Sitzenfrei Robert²^ORCID

Affiliation:

1. Fraunhofer Innovation Centre KI4LIFE, Lakeside B13a, 9020 Klagenfurt am Wörthersee, Austria

2. Unit of Environmental Engineering, Department of Infrastructure Engineering, University of Innsbruck, 6020 Innsbruck, Austria

3. Department for Public Law, Constitutional and Administrative Theory, University of Innsbruck, 6020 Innsbruck, Austria

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/69/1/32/pdf

Reference10 articles.

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2. Niknam, A., Zare, H.K., Hosseininasab, H., Mostafaeipour, A., and Herrera, M.A. (2022). Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?. Sustainability, 14.

3. (2024, March 20). Artificial Intelligence Act. Available online: https://www.europarl.europa.eu/doceo/document/TA-9-2024-0138_EN.html.

4. (2024, March 20). Battle of Water Demand Forecasting. Available online: https://wdsa-ccwi2024.it/battle-of-water-networks/.

5. Xenochristou, M., Blokker, M., and Vertommen, I. (2018, January 23–25). Investigating the influence of weather on water consumption: A dutch case study. Proceedings of the WDSA/CCWI Joint Conference, Kingston, ON, Canada.