AAIEE 2025 (IEEE International Symposium on the Application of Artificial Intelligence in Electrical Engineering) is an academic conference held in Beijing, China on 2025-04-25. The paper submission deadline is 2024-12-05. Acceptance notifications are sent on 2025-01-05.
We invite submissions of original research papers on the topics related to application of artificial intelligence in electrical engineering for the upcoming AAIEE conference. The conference aims to provide a platform for researchers, engineers, and practitioners from academia, industry, and government to exchange ideas, share experiences, and present their latest research findings in these fields.
Topics for submission include, but are not limited to:
Track 1: Artificial Intelligence in Power Systems
AI-based power system intelligent planning
Probabilistic load modeling for power system expansion planning
Deep learning for power system data analysis
Optimal operation of power systems with large-scale new energy sources taking into account weather factors
Economic dispatch of power systems with large-scale new energy sources taking into account weather factors
Analysis of power system automation control strategy based on intelligent technology
Cybersecurity in Artificial Intelligence-based power systems
Use machine learning for load prediction
Predictive maintenance of power system components
Artificial intelligence for distributed energy management
Track 2: Artificial Intelligence in Clean Energy Power Generation
Probabilistic photovoltaic generation forecasting
Probabilistic modeling of photovoltaic systems
Planning of photovoltaic power generation
Uncertainty quantification and scenario generation of photovoltaic
Applications of reinforcement learning in energy systems
Optimization and machine learning in energy harvesting system
Research on high-accuracy and high-resolution numerical weather prediction and forecasting for power production needs
Power load forecasting under typical and atypical weather types
Probabilistic tidal wave analysis for power systems with wind farms considering weather factors
Research on the simulation method of new energy generation scenario based on statistical machine learning
Track 3: Artificial Intelligence in High Voltage and Insulation Technology
Predictive modeling of insulation degradation
Evaluation of the main insulation condition of the generator
Optimize insulation design
Automatic high voltage substation
Secondary insulation monitoring system of voltage transformer based on artificial intelligence technology
Research on path planning method of transmission line combined with artificial intelligence technology
Research on coordinated planning method of transmission network and distribution network in large cities
Track 4: Artificial Intelligence Technology Assists in the Construction of Digital Power Grids
Machine learning in agriculture and rural microgrid
Assessment of available transmission capacity of new energy grid-connected power generation systems taking into account weather factors
Solutions for smart grid interoperability
Power theft detection
Smart home energy management system
Integration of iot and smart grid
Uav intelligent inspection
Intelligent fault diagnosis of unit based on neural network
The output power of the unit is forecasted in the short and medium term
Track 5: Intelligent Grid Operation and Maintenance Monitoring Based on Artificial Intelligence
Grid reliability analysis and early warning considering catastrophic weather factors
Real-time monitoring of power grid operation status
Energy flow optimization and control
Predictive maintenance of power grid equipment
Fault detection and response based on artificial intelligence
Self-healing technology in smart grid
Application of remote sensing and artificial intelligence in power grid inspection
Analysis of power grid operation and maintenance data based on machine learning
Track 6: Artificial Intelligence in the Electricity Market
Electricity market price forecast and trend analysis
Power demand forecasting and load management based on artificial intelligence
Electricity market trading strategy optimization
Electricity market risk assessment and management
Transaction credit management based on artificial intelligence facial recognition technology
Electricity market simulation and modeling
Dynamic pricing model of electricity market
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