Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2072 2019 2019 Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq Marwa S. Mahdi Hussin Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq Mohammed Brayyich Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq Mustafa Al Al-Tahee Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq Tamarah A. Diame Scientific Research Center, Al-ayen University, Thi-Qar, Iraq Sajad Ali Zearah Fraunhofer IVI,85051, Ingolstadt, Germany Marwan Qaid Mohammed College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar Salem Saleh Bafjaish In the Smart city environment, sustainable sewage and wastewater management planning plays a crucial role in industry development. Wastewater management is a serious issue with inadequate treatment, which reduces the smart city efficiency. Therefore, this research work concentrates on creating the Strategic Planning Adaption framework (SP-AF) using the Recurrent Neural Networks (RNN). This framework intends to manage the sewage and wastewater in smart cities. The sewage-related information is continuously collected by a recurrent network that identifies and tracks the wastewater and sewage in the smart city. The SP-AF framework analyses sustainable planning and managing wastewater by understanding the waste origin. In addition, the framework has been generated by understanding the wastewater knowledge, and the required actions are carried out. Then the effectiveness of the wastewater management system efficiency is compared with the existing approaches. 2023 2023 65 77 10.54216/JISIoT.090205 https://www.americaspg.com/articleinfo/18/show/2072