SHAH ALAM, May 19 — Data is the basis of Pengurusan Air Selangor Sdn Bhd’s measurable operational impact on water management systems in the state, the agency told the exclusive Leading Utilities of the World (LUOW) workshop at the Global Water Summit 2026 in Madrid, Spain, yesterday.
The private, invite-only session gathered top executives from the world’s most progressive utility firms to collaborate on urgent sector challenges, including digital innovation, energy efficiency, and climate resilience.
In a Facebook post today, Air Selangor said that during the workshop, its chief executive officer Adam Saffian Ghazali highlighted the company’s effort in utilising data in three core machine learning cases.
“We are proud to share our insights with this international audience, demonstrating how Air Selangor scales innovative technology to drive sustainable water management and contribute meaningfully to the global utility landscape,” it added.
It said the first case was to predict water meter replacement, where Air Selangor is transitioning from conventional age-based replacement to targeted, machine learning-based “degraded meters” to maximise water recovery and budget efficiency.
In the second case, Air Selangor used AI-driven forecasting and automatic anomaly detection to proactively identify under-registered meters and promptly catch hidden leaks.
It added that the third case was the district metering zone legitimate night flow prediction, which leverages smart meter profiles to predict overnight water consumption to discern real leaks from normal night-time water use, in an effort to improve non-revenue water (NRW) monitoring.
Air Selangor said these case studies were performed under an internal collaboration between its NRW department and Digital and Analytics Centre.
