Machine Learning Techniques for Wastewater Treatment Plants

Wastewater Treatment is a relevant topic in present days. Treating wastewater and make it reusable is a challenging task. Because of growing amount of integrated food waste, wastewater treatment plants are constructed and that necessitated an efficient method to perform treatment. Currently, there are models which are generated using linear, logarithmic, and exponential functions. Since the variables are related in a non-linear manner, these functions might not suffice the performance expectation. Machine learning techniques are applied to obtain better results. In this paper, a comprehensive review is done on different Machine Learning approaches and algorithms, implemented for wastewater treatment.