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AI-Driven MCDM Tools for Optimizing Industrial Wastewater Treatment
Abstract
This chapter describes the recent focus on electricity use in wastewater treatment plants (WWTPs), which has led to research to improve efficiency and identify energy savings, and explains how multiple decision-making methods (MCDM) can be used to treat wastewater Treatment. One cubic meter of wastewater requires at least 0.18 kWh of electricity to treat. Aeration accounts for approximately 50% of the energy required for the process, depending on the level of treatment and the size of the site. This section describes how to save energy in wastewater treatment plants, highlighting the transition from traditional management to artificial intelligence (AI)-based technology. This section highlights the importance of wastewater treatment. It presents a comprehensive review of the literature over the last decade. It aims to contribute to the ongoing discussion on improving the efficiency and sustainability of wastewater treatment plants. It includes traditional management and technology, focusing on intelligence-based management using algorithms such as neural networks and fuzzy logic.
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