Evaluating the Performance of Predictive Models for Water Flow Rate in Storage Tanks: An Analysis of a Cyber-Physical System

Key Points

• To assess the effectiveness of various predictive models for estimating water flow rates in storage tanks.
• Evaluation of multiple predictive models applied to a cyber-physical system setup.
• Analysis of flow rate data from storage tanks under different scenarios.
• Performance metrics assessed included accuracy and reliability of predictions.
• Certain models outperformed others in predicting flow rates, with accuracy rates exceeding 85%.
• Models incorporating machine learning algorithms demonstrated improved predictive capabilities.
• Significant reductions in prediction error margins were observed, suggesting enhanced operational efficiency.