The complex operation of industrial integrated energy systems (IES), with their coupled energy, material, and information flows, is being transformed by artificial intelligence (AI). This paper reviews the AI-driven advancements in IES modeling, design, and operation. We explore the potential of large language models-assisted decision-making and the energy–AI–industrial multidisciplinary nexus. The deep integration of AI and energy science promises to reshape industrial energy management and accelerate the net-zero carbon transition.
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Yihui Mao
Zhejiang Energy Research Institute
Nan Zhang
Shenyang Aerospace University
Pingyuan Shi
Zhejiang Energy Research Institute
Zhejiang University
Shanghai Advanced Research Institute
Zhejiang Energy Research Institute
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Mao et al. (Mon,) studied this question.
synapsesocial.com/papers/69a7655dbadf0bb9e87d8d5e — DOI: https://doi.org/10.1038/s44435-025-00003-0
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