This session examines how predictive artificial intelligence can be applied to forecast influent flow and loading, and how those forecasts can be translated into actionable operational decisions for wastewater treatment and pumping facilities. It highlights how predictive outputs can be integrated with optimization frameworks to reduce energy use, operating costs, and emissions while maintaining hydraulic and process constraints. The session also emphasizes model validation, risk management, and practical implementation strategies to support a shift from reactive operations to anticipation‑based decision‑making.
