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To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big dataplatform, focusing on multi-objective scheduling optimization for clean energy.
Monitoring energy efficiency and greenhouse gas or fugitive emissions can directly contribute to environmental, social and governance (ESG) reporting, helping to manage and reduce the carbon footprint. These models often incorporate machine learning and AI algorithms to detect the onset of degradation mechanisms in an early stage.
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