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Session 14: AI-Powered Renewable Energy System Scheduling, Operation and Maintenance

“人工智能赋能的可再生能源系统规划、运行与维护”

Session 14

AI-Powered Renewable Energy System Scheduling, Operation and Maintenance
“人工智能赋能的可再生能源系统规划、运行与维护”

Renewable energy sources such as solar, wind, and hydropower are increasingly becoming the backbone of the global energy infrastructure. However, the scheduling, operation and maintenance of renewable energy systems pose unique challenges due to their intermittent nature, complex equipment, and often remote locations. The AI-assisted solution can offer transformative solutions to enhance efficiency, reliability, and cost-effectiveness. This session welcomes contributions that novel AI assisted applications in renewable system scheduling, power forecasting, performance optimization, conditional monitoring, grid Integration and management, and so on. By leveraging AI techniques, this research seeks to contribute to the sustainable development of renewable energy systems, and accelerating the global transition to a clean energy future.

Topics (Including but not limited to)  

  • AI-Driven Innovations for Renewable Energy System Operation and Grid Integration人工智能在可再生能源功率预测、调度及预测性维护中的前沿应用
  • Advanced AI Applications in Renewable Power Forecasting, Scheduling, and Predictive Maintenance可再生能源效率、可靠性与成本效益提升技术
  • Intelligent Solutions for Enhancing Efficiency, Reliability, and Cost-Effectiveness of Renewable Energy可持续清洁能源转型的人工智能辅助电网管理与多能协同
  • AI-Assisted Grid Management and Multi-Energy Coordination for Sustainable Clean Energy Transition可再生能源状态监测与性能优化中的人工智能技术
  • AI Techniques in Renewable Energy Condition Monitoring and Performance Optimization可再生能源状态监测与性能优化中的人工智能技术
  • AI-Powered Transformation of Renewable Energy Infrastructure人工智能赋能的可再生能源基础设施转型

Chair: Assoc. Prof. Huan Long, Southeast University, China

Huan Long received the B.Eng. degree from Huazhong University of Science and Technology, Wuhan, China, in 2013, and the Ph.D. degree from the City University of Hong Kong, Hong Kong, in 2017. She is currently an Associate Professor with the School of Electrical Engineering, Southeast University, Nanjing, China. Her research fields include artificial intelligence applied in modeling, optimizing, monitoring the renewable energy system and power system.

Co-chair: Assoc. Prof. Luoxiao Yang, Xi'an University of Technology, China

Yang Luoxiao received the B.Eng. degree in Electrical Engineering and Automation from Xi'an Jiaotong University, Xi'an, China, in 2019, and the Ph.D. degree in Data Science from the City University of Hong Kong, Hong Kong, in 2023. He is currently an Associate Professor with Xi'an University of Technology, Xi'an, China. His long-term research fields include time series analysis, renewable energy data mining, and multi-agent system design.

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: December 30th, 2025
    投稿截止日: 2025年12月30日 

  • Notification Deadline: January 30th, 2026
    通知书发送: 2026年1月30日 

  • Registration Deadline: February 20th, 2026
    注册截止日期: 2026年2月20日