

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