March 3, 2026Open Access

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

Key Points

The integration of artificial intelligence revolutionizes energy management processes, driving carbon neutrality in industries.
Notable advancements in decision-making increase efficiency in integrated energy systems, enhancing sustainability efforts.
Review of AI-driven modeling shows significant potential for reshaping energy and industrial operations—impacting overall carbon emissions.
Deep integration of AI and energy science suggests a multidisciplinary approach may enable faster transitions to net-zero carbon objectives.

Abstract

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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Authors

Yihui Mao

Zhejiang Energy Research Institute

Nan Zhang

Shenyang Aerospace University

Pingyuan Shi

Zhejiang Energy Research Institute

Actions

Institutions

Zhejiang University

Shanghai Advanced Research Institute

Zhejiang Energy Research Institute

References and Citations

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Building similarity graph...

Analyzing shared references across papers

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

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

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