AI大模型在能源系统规划的应用潜力及发展展望

方宇娟; 吴铮; 仇慧; 周一帆; 杨汶瑾; 刘云川; 倪金; 丁田荣; 王振乾; 潘弈成

doi:10.19805/j.cnki.jcspe.2025.250687

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AI大模型在能源系统规划的应用潜力及发展展望

更新时间：2026-01-23

- AI大模型在能源系统规划的应用潜力及发展展望
- Application Potential and Development Prospects of AI Large Models in Energy System Planning
- 动力工程学报 2025年45卷第12期页码：2207-2218
- 作者机构：
  
  1. 清华大学低碳能源实验室,北京,100084
  2. 清华大学碳中和研究院,北京,100084
  3. 清华大学能源与动力工程系,北京,100084
- 作者简介：
  
  [ "方宇娟(1996—),女,湖北天门人,助理研究员,博士,研究方向为能源低碳转型、能源规划、人工智能能源专业大模型,E-mail:fangyj@mail.tsinghua.edu.cn" ]
- 基金信息：
  
  国家自然科学基金资助项目(52207114)
- DOI：10.19805/j.cnki.jcspe.2025.250687
  中图分类号：
- 网络出版：2025-12-16，
  
  纸质出版：2025-12-16
- 稿件说明：
移动端阅览
方宇娟,吴铮,仇慧,周一帆,杨汶瑾,刘云川,倪金,丁田荣,王振乾,潘弈成. AI大模型在能源系统规划的应用潜力及发展展望动力工程学报, 2025, 45(12): 2207-2218 https://doi.

org/10.19805/j.cnki.jcspe.2025.250687
方宇娟,吴铮,仇慧,周一帆,杨汶瑾,刘云川,倪金,丁田荣,王振乾,潘弈成. AI大模型在能源系统规划的应用潜力及发展展望动力工程学报, 2025, 45(12): 2207-2218 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250687.

org/10.19805/j.cnki.jcspe.2025.250687 DOI：

摘要

能源系统转型规划面临研究对象规模大、关联性复杂导致的数据处理难、高维求解难等挑战

传统技术难以应对

AI大模型等人工智能技术依托强大的计算和推理能力可为解决该问题提供关键支撑。然而

AI大模型在能源系统规划这一特定交叉学科中的应用探索仍处于初步阶段

相关研究成果目前尚显薄弱。因此

通过探讨AI大模型技术在能源系统规划领域的应用潜力及发展前景

提出从理论到工程实践的系统性研究与应用框架

提炼得出规划对象、目标及指标确立、数据研究、需求预测、规划方法设计和结果审定与调整等5项能源系统规划主要任务

以及相同任务中需选用的不同方法和尺度。此外

研究了AI大模型与能源系统规划间的耦合关系

划分大模型技术种类分析其可发挥作用以适应规划研究

并分析了AI大模型在能源系统规划中的研究及应用现状、挑战和空白。本研究可推动AI大模型以重构能源系统规划的认知框架与决策模式

有效助力我国双碳目标下能源结构的转型升级与配置优化。

Abstract

Energy system transition planning face challenges such as difficulties in data processing and high-dimensional solution

which are caused by the large scale of research objects and complex correlations. Traditional technologies are difficult to cope with these challenges

while artificial intelligence (AI) technologies such as AI large models could provide key support for solving this problem by virtue of their strong computing and reasoning capabilities. However

the exploration of applying AI large models in the specific interdisciplinary field of energy system planning is still in its initial stage

and the relevant research results remain relatively weak at present. Therefore

the application potential and development prospects of AI large model technology in the field of energy system planning were discussed

a systematic research and application framework from theory to engineering practice were proposed

and five main tasks of energy system planning were extracted

including planning objects

goals and indicators establishment

data research

demand forecasting

planning method design

and result approval and adjustment

as well as different methods and scales to be selected in the same task. In addition

the coupling relationship between AI large models and energy system planning was studied

the types of large model technologies were divided and their potential roles to adapt to planning research were analyzed. The research and application status

challenges

and gaps of AI large models in energy system planning were analyzed

and the possible research directions and content prospects were discussed. This study can promote the use of AI large models to reconstruct the cognitive framework and decision-making mode of energy system planning

and effectively assist in the transformation

upgrading

and configuration optimization of China's energy structure under the dual carbon goals.

关键词

Keywords

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