Call for Papers (Flyer)

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 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 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 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 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 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