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Reinforcement-Learning-Enabled Supervisory Control of a Full-Scale Anaerobic Digestion Facility Using a Calibrated Digital Twin
Anaerobic digestion (AD) is a cornerstone of energy recovery and decarbonization at wastewater resource recovery facilities (WRRFs), yet full-scale digesters are often operated conservatively due to delayed process feedback, nonlinear stability constraints, and limited observability. This study pres
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