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<p>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.</p>

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A review of smart integrated energy systems towards industrial carbon neutrality: Opportunity and challenge

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月2日

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  • Yihui Mao,
  • Nan Zhang,
  • Pingyuan Shi,
  • Wei Zhong,
  • Xiaojie Lin

摘要

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.