A machine learning study on a municipal solid waste-to-energy system for environmental sustainability in a multi-generation energy system for hydrogen production

• Main Authors: Zhang, Yulan, Aldosky, Abdulrahman Jaffar, Goyal, Vishal, Meqdad, Maytham N., Nutakki, Tirumala Uday Kumar, Alsenani, Theyab R., Nguyen, Van Nhanh, Dahari, Mahidzal, Nguyen, Phuoc Quy Phong, Ali, H. Elhosiny
• Format: Article
• Published: Institution of Chemical Engineers 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/44880/

Municipal solid waste (MSW)-to-energy systems have gained significant attention in recent years for their potential to produce renewable energy from waste. These systems involve the conversion of MSW into electricity, heat or fuel. One of the most promising applications of MSW-to-energy systems is t...