Artificial Intelligence #ai#water management
AI Framework Targets 50% Water Loss in Jordan with LLM and Digital Twin Integration
A research paper proposes an AI-driven framework integrating EPANET hydraulic modeling, digital twin technology, SCADA systems, and large language model-based AI agents to reduce non-revenue water in Jordan, where 50% of water is lost to leakage, theft, and metering issues. A proof-of-concept on a 1,164-junction Amman network demonstrates automated anomaly detection and AI-generated health reports with sub-2-minute response times and zero API costs.
Jun 16, 2026 1 source