3rd International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE 2027)

The 3rd International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE 2027) presents applications of artificial intelligence across electrical engineering, including power systems, smart grids, clean energy, and electricity market optimization.

Key Topics

• Artificial Intelligence in High Voltage and Insulation Technology
  • Evaluation of the main insulation condition of the generator
  • Predictive modeling of insulation degradation
  • Automatic high voltage substation
  • Optimize insulation design
  • Research on path planning method of transmission line combined with artificial intelligence technology
  • Secondary insulation monitoring system of voltage transformer based on artificial intelligence technology
  • Research on coordinated planning method of transmission network and distribution network in large cities
• Artificial Intelligence in Power Systems
  • Probabilistic load modeling for power system expansion planning
  • AI-based power system intelligent planning
  • Optimal operation of power systems with large-scale new energy sources taking into account weather factors
  • Deep learning for power system data analysis
  • Analysis of power system automation control strategy based on intelligent technology
  • Economic dispatch of power systems with large-scale new energy sources taking into account weather factors
  • Use machine learning for load prediction
  • Cybersecurity in Artificial Intelligence-based power systems
  • Artificial intelligence for distributed energy management
  • Predictive maintenance of power system components
• Artificial Intelligence in Clean Energy Power Generation
  • Probabilistic modeling of photovoltaic systems
  • Probabilistic photovoltaic generation forecasting
  • Uncertainty quantification and scenario generation of photovoltaic
  • Planning of photovoltaic power generation
  • Optimization and machine learning in energy harvesting system
  • Applications of reinforcement learning in energy systems
  • Power load forecasting under typical and atypical weather types
  • Research on high-accuracy and high-resolution numerical weather prediction and forecasting for power production needs
  • Research on the simulation method of new energy generation scenario based on statistical machine learning
  • Probabilistic tidal wave analysis for power systems with wind farms considering weather factors
• Intelligent Grid Operation and Maintenance Monitoring Based on Artificial Intelligence
  • Real-time monitoring of power grid operation status
  • Grid reliability analysis and early warning considering catastrophic weather factors
  • Predictive maintenance of power grid equipment
  • Energy flow optimization and control
  • Self-healing technology in smart grid
  • Fault detection and response based on artificial intelligence
  • Analysis of power grid operation and maintenance data based on machine learning
  • Application of remote sensing and artificial intelligence in power grid inspection
• Artificial Intelligence in the Electricity Market
  • Power demand forecasting and load management based on artificial intelligence
  • Electricity market price forecast and trend analysis
  • Electricity market risk assessment and management
  • Electricity market trading strategy optimization
  • Electricity market simulation and modeling
  • Transaction credit management based on artificial intelligence facial recognition technology
  • Dynamic pricing model of electricity market
• Artificial Intelligence Technology Assists in the Construction of Digital Power Grids
  • Assessment of available transmission capacity of new energy grid-connected power generation systems taking into account weather factors
  • Machine learning in agriculture and rural microgrid
  • Power theft detection
  • Solutions for smart grid interoperability
  • Integration of iot and smart grid
  • Smart home energy management system
  • Intelligent fault diagnosis of unit based on neural network
  • Uav intelligent inspection
  • The output power of the unit is forecasted in the short and medium term