This use case applies AI4Gov tools to enhance drinking water management in the Province of Badajoz, Spain, by predicting inefficiencies in water quality and energy consumption.
Through smart forecasting, reporting, and intuitive dashboards, technicians and policymakers can monitor key water parameters, detect anomalies early, and make data-driven decisions to improve service quality and sustainability. Citizens also benefit from greater transparency through access to downloadable reports and insights.
Key points:
- Improved drinking water quality via proactive monitoring and forecasting
- Reduced energy use in water treatment processes
- Detection of inefficiencies and recurring issues in the water network
- Executive reports supporting long-term planning and investment decisions
- Time series forecasting for future trends and anomaly detection
- Technician tools to track and predict parameters like pH
- Citizen transparency with accessible performance data
