- WELCOME TO LMCES 2027 -


The conference, scheduled for July 6th-8th, 2027, in Shijiazhuang, China, will focus on the latest research in the field of 'AI empowers energy and carbon systems.' The conference will cover “Energy and carbon large model architecture and training optimization、Dual carbon data governance and integration analysis、intelligent scheduling of energy systems based on large models and intelligent monitoring and control of carbon emissions in key industries” It aims to provide a high-level platform for researchers and scholars to showcase and exchange their research findings. Through keynote speeches, oral presentations, and poster displays, the conference will highlight the latest technological advancements and achievements, fostering technical exchanges and intellectual collisions. We genuinely invite experts, scholars, and professionals from universities, research institutions, and the business community, as well as other relevant individuals, to actively participate and engage in the exchange.


- CALL FOR PAPERS -

All papers related to the themes of Large AI Models for Carbon and Energy Systems can be submitted, including but not limited to the following topics:

Architecture and Training Optimization for Energy-Carbon Large Models Data Governance and Fusion Analysis for Dual-Carbon

Domain-Specific Large Model Architectures
Pretraining and Fine-Tuning Strategies for Large Models
Energy-Efficient Optimization for Large Model Training and Inference
Cross-Modal Knowledge Fusion for Model Training

Multi-source Heterogeneous Data Governance and Standardization
Construction of High-Quality Energy-Carbon Datasets
Large Model-Based Spatiotemporal Data Fusion
Privacy-Preserving Computation and Secure Data Sharing
Large Model-Based Intelligent Dispatch of Energy Systems Intelligent Monitoring and Control of Carbon Emissions in Key Industries

Multivariate Load and Renewable Energy Output Forecasting
Multi-Timescale Power System Dispatch
Coordinated Optimization of Integrated Energy Systems
Dispatch of Distributed Energy Resources and Virtual Power Plants

Intelligent Carbon Emission Accounting and Reporting
Real-Time Carbon Emission Monitoring and Inversion
Carbon Emission Source Tracing Analysis and Predictive Early Warning
Carbon Reduction Pathway Optimization and Scenario Simulation

- PUBLICATION -

The full text of each submitted paper will undergo three technical reviews, which include initial review, double-blind peer review (at least three review experts), and final review. The submission will be evaluated on the originality of the content, technical and research content/depth, correctness, relevance to the conference, contribution and readability. 


- SUBMISSION & IMPORTANT DATES -

    Please send the full paper (word+pdf) to xueshu@eept.org.cn。

Templates：to be determined


Deadline for submission of papers: 

March 29th, 2027

Notification of acceptance:
May 28th, 2027

Final camera-ready papers due:
June 28th, 2027

Date of Conference:
July 6th-8th, 2027


- ORGANIZER -

School of Architecture and Urban Planning Chongqing University.png

School of Architecture and Urban Planning Chongqing University


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International Association for Energy and Environmental Research


北京中环电力能源大数据研究院.jpg

Beijing Zhonghuan Institute of Electric Power and Energy Big Data