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About CADE 2027

2027 International Conference on Artificial Intelligence and Digital Energy


Against the backdrop of global energy‑structure transition and the rapid advancement of artificial intelligence technologies, the intelligent upgrading of energy systems has emerged as a major trend. To foster academic exchange and collaboration in this field, the 2027 International Conference on Artificial Intelligence and Digital Energy (CADE 2027) will be held in Changsha, China, from June 26 to 28, 2027. The conference focuses on innovative applications of artificial intelligence within the digital‑energy domain, covering research directions including smart‑grid optimization, energy big‑data analytics, new‑energy forecasting and dispatching, digital‑twin technology, and energy‑storage management. Plenary keynote speeches, oral presentations and poster sessions will be organized to provide a platform for researchers, engineers and industry practitioners to share and exchange academic achievements. We sincerely invite scholars from universities, research institutions and enterprises worldwide to contribute papers and discuss cutting‑edge issues at the intersection of energy and artificial intelligence. We look forward to meeting you in Changsha to advance academic progress and industrial collaboration.

重要时间

Important Dates

Full Paper

Submission Date

April

10

2027

Notification of 

Acceptance

May

10

2027

Final Paper

Submission Date

May

25

2027

Conference

Dates

June  

25-27

2027

cfp

Call For Papers

The topics of interest for submission include, but are not limited to:

📚︎ Track 1: AI Applications in Energy Systems

Machine Learning in Power Systems

Deep Learning for Load Forecasting

Reinforcement Learning for Energy Scheduling & Optimization

Computer Vision for Energy Facility Inspection

Natural Language Processing for Energy Document Analysis

Explainable AI in Energy Decision-making

Federated Learning in Distributed Energy

Generative AI for Energy Simulation

Graph Neural Networks for Grid Topology Analysis

📚︎ Track 2: Digital Energy & Smart Grid

Smart Grid Architecture & Communication Technologies

Distributed Energy Resources & Microgrid Management

Virtual Power Plants & Demand Response

Energy Internet & Cyber-Physical Systems

Digital Twins in Power Grids

Blockchain in Energy Trading

Advanced Metering Infrastructure & Data Collection

Grid Situational Awareness & Fault Diagnosis

Active Distribution Network Optimization & Control

📚︎ Track 3: Renewable Energy & Smart Energy Management

Solar & Wind Power Forecasting

Intelligent Energy Storage Management & Optimization

Integrated Energy System Planning & Operation

Electric Vehicle & Grid Integration

Multi-energy Complementarity & Cascade Utilization

Carbon Peak & Neutrality with Smart Energy

Energy Efficiency Assessment & Optimization

Hydrogen Energy & Smart Energy Systems

Building Smart Energy Management

Energy Markets & Ancillary Services

📚︎ Track 4: Energy Big Data & Digital Platforms

Energy Big Data Storage & Processing

Energy Data Quality & Governance

Cloud Computing & Edge Computing in Energy

Internet of Things for Energy Monitoring

Energy System Cybersecurity

Smart Energy Platform Architecture & Interoperability

Energy Data Visualization & Decision Support

Energy Digital Assets & Trading Platforms

Energy Simulation & Digital Twin Platforms

AI-driven Energy Metering & Data Analytics

Submission

Please send the full paper (Word+PDF) to Submission System.

📤︎Submission System (CN)

📤︎Submission System (EN)

📥︎Download Templates

publlication

Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus  for indexing.

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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