◕ Other Tracks: 

   Topic 1: AI-driven Renewable Energy Prediction and Load Modeling

 - AI-Driven Joint Prediction of PV/Wind Power and Grid Load

 - Machine Learning-Enabled Uncertainty Quantification of Renewable Energy Output

 - Multimodal Data Fusion for Short-Term/Long-Term Grid Load Forecasting

 - Generative AI for Renewable Energy Generation Prediction Under Extreme Weather

   Topic 2: HESS Capacity Configuration and Charge/Discharge Optimization

 - Reinforcement Learning for Real-Time Charging-Discharging Scheduling of HESS in Smart Substations

 - AI-Driven Multi-Objective Capacity Configuration of HESS (Cost-Stability-Lifespan)

 - Deep Learning-Enabled Dynamic Optimization of HESS Charging-Discharging Strategies

 - AI-Optimized HESS Grid Auxiliary Services Across Multi-Time Scales

   Topic 3: HESS Life Cycle Cost and Grid Stability Enhancement

 - AI Pathways for Lifecycle Cost-Efficiency Optimization of HESS

 - AI-Driven Dynamic Optimization Mechanism for Grid Costs

 - AI-Based Frequency/Voltage Stability Control of HESS-Coordinated Power Grids

 - AI Scheme for Grid Fluctuation Suppression by HESS Under High Renewable Energy Penetration

   Topic 4: Digital Twin and Intelligent Operation & Maintenance of HESS

  - Digital Twin-Enabled HESS Health Monitoring and Predictive Maintenance

  - AI-Driven Fault Diagnosis and Fault-Tolerant Control of HESS

  - Cross-Domain Digital Twins for HESS-Grid Collaborative Optimization

   Topic 5: Policy Awareness and Market Mechanism Innovation

 - Policy-Aware Economic Models for Smart Grids Under Carbon Constraints

 - Blockchain-Enabled Distributed HESS Energy Trading Mechanisms

 - AI-Optimized Trading Strategies for HESS Participating in Auxiliary Service Markets

   Topic 6: Trustworthy AI and HESS-Grid Security Integration

 - Trustworthy AI for Safety-Critical HESS-Grid Integration

 - Robustness Enhancement of AI Models and HESS-Grid Security Protection

 - Scalable AI Solutions for Large-Scale HESS Cluster Collaboration