AI RESEARCH
Data-Driven Open-Loop Simulation for Digital-Twin Operator Decision Support in Wastewater Treatment
arXiv CS.LG
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ArXi:2604.20935v1 Announce Type: new Wastewater treatment plants (WWTPs) need digital-twin-style decision tools that can simulate plant response under prescribed control plans, tolerate irregular and missing sensing, and remain informative over 12-36 h planning horizons. Meeting these requirements with full-scale plant data remains an open engineering-AI challenge. We present CCSS-RS, a controlled continuous-time state-space model that separates historical state inference from future control and exogenous rollout.