SUBMIT ONLINE: https://www.easychair.org/conferences/?conf=prai2026  (Please choose Special Session 13)

With the rapid development of smart grids and the deep integration of artificial intelligence (AI) and pattern recognition technologies into power systems, the demand for intelligent signal processing and accurate state perception has become increasingly urgent. This special session focuses on the latest research advances, innovative technologies, and practical applications of intelligent signal processing and state perception in power systems, aiming to bridge the gap between pattern recognition, AI algorithms and power system engineering practice. It provides an academic exchange platform for researchers, engineers and experts in related fields to share cutting-edge achievements, discuss key challenges, and promote the intelligent transformation of power systems. The session will cover the integration of pattern recognition, machine learning, deep learning, graph neural networks and multimodal fusion algorithms with power system signal processing and state perception, focusing on solving practical problems such as harmonic detection, frequency and state estimation, transient analysis in power system operation, as well as low signal-to-noise ratio, complex interference, and difficult state evaluation, so as to support the safe, stable and efficient operation of smart grids.

Chairs:
Haiquan Zhao Southeast University, China hqzhao@swjtu.edu.cn		Yili Xia Southeast University, China yili_xia@seu.edu.cn
Zhe Li Soochow University, China lizhe@suda.edu.cn		Wentao Ma Xi'an University of Technology, China mawt@xaut.edu.cn

Topics of interest include, but are not limited to:
- Intelligent processing of power system signals
- Pattern recognition and feature extraction for power system signals (with graph neural networks)
- AI-driven state perception and health assessment of power equipment
- Multimodal data fusion for power system state perception
- Noise suppression and signal enhancement for power monitoring
- Deep learning-based power system fault diagnosis and prediction
- Edge computing-based real-time state perception (with distributed multi-task computing)
- Power system harmonic detection, frequency estimation and transient analysis
- Intelligent signal processing in renewable energy integration
- Intelligent state perception for smart distribution networks and microgrids

IMPORTANT DATE
Final Submission Deadline: July 05, 2026
Final Notification Date: July 20, 2026
Final Registration Deadline: July 25, 2026