- WELCOME TO LMCES 2027 -
The conference, scheduled for March 3-5, 2027, in Nanchang, 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 theme of Large AI Models for Carbon and Energy Systems can be submitted, including but not limited to the following topics:
| Energy and Carbon Large Model Architecture and Training Optimization | Dual carbon data governance and integration analysis |
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Domain specific Large Model Architecture Pre training and fine-tuning strategies for large models Energy Efficiency Optimization of Large Model Training Reasoning Cross modal knowledge fusion training |
Governance and Standardization of Heterogeneous Data from Multiple Sources Construction of high-quality carbon data sets Spatiotemporal Data Fusion Based on Large Models Data Privacy Calculation and Security Sharing |
| Intelligent scheduling of energy systems based on large-scale models | Intelligent monitoring and control of carbon emissions in key industries |
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Multivariate Load and New Energy Output Prediction Multi time scale power system scheduling Collaborative optimization of integrated energy systems Distributed Energy and Virtual Power Plant Scheduling |
Intelligent Accounting and Reporting of Carbon Emissions Real time monitoring and inversion of carbon emissions Carbon Emission Traceability Analysis and Prediction Warning Optimization of Carbon Reduction Pathways 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
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Deadline for submission of papers: December 1, 2026 |
Notification of acceptance: |
Final camera-ready papers due: |
Date of Conference: |
- ORGANIZER -
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Qiannan Normal University for Nationalities | |
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International Association for Energy and Environmental Research |
Beijing Zhonghuan Institute of Electric Power and Energy Big Data |
