Forecasting of Wastewater Treatment Plant Key Features using Deep Learning-Based Models: A Case Study

Computer Science

• Accuracy 18%
• Accurate Forecast 9%
• Application 9%
• Case Study 9%
• Control 9%
• Data Distribution 9%
• Deep Learning Model 9%
• Design 9%
• Dynamic Nature 9%
• Environmental Data 9%
• Historical Record 9%
• Learning Technology 9%
• Operational Cost 9%
• Optimization 9%
• Outlier 9%
• Power Consumption 9%
• Regression 9%
• Simulation Mode 90%
• Soft Sensor 27%
• Support Process 9%

Chemical Engineering

• Deep Learning 27%
• Long Short-Term Memory 100%
• Oxygen 18%
• Temperature 9%
• Wastewater Treatment Plant 54%