A machine learning study on a municipal solid waste-to-energy system for environmental sustainability in a multi-generation energy system for hydrogen production
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...
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| 主要な著者: | , , , , , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Institution of Chemical Engineers
2024
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| 主題: | |
| オンライン･アクセス: | http://eprints.um.edu.my/44880/ |
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