Scopes
(Include but not limited to)
Track 1: Smart Grid Technology and Infrastructure
Smart Grid Technology
Smart Sensors and Sensing Technology
Grid Interface Technology
Power and Energy Systems
Smart Grid and Distributed Energy
Distribution System and Substation Automation
Wide Area Protection, Communication and Control in Energy Systems
Intelligentization of Power Equipment
Smart Grid Deployment
Power System and Its Automation
Power System Modeling, Simulation and Analysis
Power System Planning and Scheduling
Power Quality Monitoring and Control in Smart Grids
Smart Grid Applications in Multiple Domains
Stability Control of Large Power Grids
Power System Communication and Control
Grid Intelligent Dispatch
Smart Distribution and Microgrid
Smart Planning and Scheduling
Power System Protection, Operation and Control
Power System Reliability and Safety
High Voltage and Insulation Technology
Power Electronic Devices and Power Drive
Track 2: Artificial Intelligence and Machine Learning Technology
Machine Learning and Deep Learning Algorithms
Reinforcement Learning and Deep Reinforcement Learning
Transfer Learning, Meta Learning and Small Sample Learning
Self-Supervised Learning and Contrastive Learning
Graph Neural Networks and Graph Representation Learning
Generative AI and Diffusion Models
Large Language Models (LLMs) and Foundation Models
Multimodal Learning and Cross-modal Intelligence
Federated Learning and Distributed Machine Learning
Interpretable AI and Trustworthy AI
Model Compression, Knowledge Distillation and Lightweight Deployment
Track 3: Cross-Application of AI and Smart Grid
Information and Communication Technology in Smart Grids
Computational Intelligence in Electrical Engineering
AI-Driven Power Generation Optimization
AI-Enhanced Smart Grid Dispatch
AI-Enabled Predictive Maintenance of Energy Assets
AI-Driven Energy Management of Microgrids
AI-Enabled Low-Carbon Power System Planning
AI-Enhanced Energy Demand Side Response
Adaptive Grid Control under Uncertainty Using Reinforcement Learning
Interpretable AI for Grid Monitoring and Decision-Making
Federated Learning for Privacy-Preserving Grid Analysis
Machine Learning-Driven Energy Prediction
Generative AI, Large Language Models (LLMs), Foundation Models in Grids
LLM-Driven Grid Operation and Management Technologies
Digital Twinning and Predictive Maintenance
Data-Driven Smart Grid Monitoring, Protection and Control
AI Applications in Grid Security
Energy Internet and Digital Twinning
......
Important Dates/重要日期
  • Submission Deadline: 2026.11.24
  • Registration Deadline: 2026.12.1
  • Conference Date: 2026.12.9
  • Notification Date: About a week after the submission
Submission Portal/投稿方式

Mail Address:  isubmit_paper@163.com

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:

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  • +86-15680829715(微信同号)
  • 1347638002
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