Could ChatGPT Automate Water Network Clustering? A Performance Assessment Across Algorithms

Water distribution networks (WDNs) are characterized by complex challenges in management and optimization, especially in ensuring efficiency, reducing losses, and maintaining infrastructure performances. The recent advancements in Artificial Intelligence (AI) techniques based on Large Language Model...

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Veröffentlicht in:	Water (Basel) Jg. 17; H. 20; S. 2995
Hauptverfasser:	Palma, Ludovica, Creaco, Enrico, Iervolino, Michele, Marocco, Davide, Santonastaso, Giovanni Francesco, Di Nardo, Armando
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 17.10.2025
Schlagworte:	Algorithms Analysis Automation Case studies Chatbots Cluster analysis Clustering Comparative analysis Datasets Distribution Forecasts and trends Hydraulics Machine learning Market segmentation Market segments Optimization Software Water Water quality Water resources management Water shortages Italy
ISSN:	2073-4441, 2073-4441
Online-Zugang:	Volltext
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