Forecasting Effluent Biochemical Oxygen Demand in Sewage Treatment Plants Using Machine Learning and User-Friendly Interface

• Main Authors: Rizal N.N.M., Hayder G.
• Other Authors: 57654708600
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Subjects: Domestic wastewater; Efficiency; Energy; GUI; IoT; Sewage treatment plant; Supervised machine learning; artificial neural network; biochemical oxygen demand; domestic waste; effluent; energy efficiency; forecasting method; machine learning; real time; sewage treatment; water quality
• Institution: Universiti Tenaga Nasional

Efficiency of a system in a sewage treatment plant (STP) is significant in providing high quality of treated water to be discharged for the usage of surrounding neighborhood. However, the problems in measuring and monitoring the water quality in the treated wastewater or effluent water in real time...