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