Wastewater treatment is a complex system for which a vast amount of data has been generated through online sensors, providing the opportunity for applying artificial intelligence (AI) to improve the performance of the system. Applied AI was found to demonstrate a better potential for data analysis than conventional statistical assessment. This chapter outlines state-of-the-art development in the use of applied AI for wastewater treatment plants (WWTPs) with a focus on output, algorithms, data, and performance. Real applications of AI in WWTPs include prediction, soft sensors, intelligence control and optimization, and detection. This paper could therefore help environmental scientists, wastewater engineers, and practitioners in the better control and operation of WWTPs.
uan Cuong Nguyen, Thi Thanh Huyen Nguyen, Quoc Ba Tran, Xuan-Thanh Bui, Huu Hao Ngo, Dinh Duc Nguyen, Chapter 21 - Artificial intelligence for wastewater treatment, Editors: Xuan-Thanh Bui, Dinh Duc Nguyen, Ashok Pandey, Advances in Biological Wastewater Treatment Systems, Elsevier, 2022, Pages 587-608, ISBN 9780323998741,