Real-time clustering for priority evaluation in a water distribution system

Nowadays with the development of smart infrastructure for water resource management, there is an increased need for efficient operation and management of water distribution infrastructures. In this paper, we propose a system for real-time clustering system priority evaluation in a water distribution system. Data clustering algorithms are modified for real-time scenarios providing decision support for management of water distribution system. The proposed method is compared to the standard clustering methods in terms of accuracy and real-time capabilities.