Call for Papers

Call for Papers


The AI-SEPS conference series centers on artificial intelligence for smart energy and power systems, covering theoretical fundamentals, algorithmic innovations, and cross-disciplinary practical applications of energy and power systems. This conference intends to bring together researchers, scholars, and industry specialists engaged in fundamental and applied science, engineering, and technology fields to exchange their latest research outcomes.

 

We sincerely invite experts, scholars, and industry practitioners from universities and research institutions worldwide to join our academic exchanges.

 

Topics of interest include, but are not limited to:

 

 

Track 1: AI Foundations and Trustworthy Technologies Track 2: Smart Grids and New-Type Power Systems
Foundation Models and Energy LLMs
Physics-Informed Neural Networks (PINNs)
Explainable AI and Federated Learning
AI Security and Trustworthiness Assessment
Smart Grid Stability and Control
AI-Driven Source-Load Forecasting
Reinforcement Learning and Intelligent Dispatch
Deep Learning for Equipment Condition Assessment
Track 3: Data Centers and Energy-Compute Integration Track 4: Energy Storage, Hydrogen and Power Electronics
AI Workload and Power Co-Scheduling
Grid-Interactive Data Centers (GDC)
Intelligent Demand Response for Data Centers
Chip-Level Intelligent Power Delivery

AI for Battery Storage Management and Prediction
Electrolyzer Degradation Forecasting and Intelligent Control
AI-Assisted Converter Control
Wide-Bandgap Devices and Digital Twins

Track 5: Renewable Energy and Multi-Energy Systems Track 6: Power Markets, Carbon Trading and System Resilience
Intelligent Renewable Energy Generation
Multi-Energy Complementarity and Uncertainty Modeling
Intelligent Co-Scheduling of Multi-Energy Systems
Machine Learning and Energy Management

Electricity-Carbon Market Mechanisms and Risk Assessment
AI Bidding and Multi-Agent Coordination
VPP and Reinforcement Learning Aggregation
Smart Grid Resilience and Recovery Strategies