Master's Student
Biography
Zihao Song's research focuses on hotspot effects and fault detection in photovoltaic (PV) systems. His work primarily revolves around the abnormal behaviors of PV modules during operation, including the impact of hotspots on module performance and the optimization of diagnostic methods. By integrating advanced artificial intelligence algorithms and infrared thermography, he is committed to exploring efficient and accurate fault detection and diagnostic strategies to enhance the safety and reliability of photovoltaic systems. His research aims to provide innovative technical solutions for the PV industry and contribute to the development of green energy.
Research Interest
Hotspot Effects and Fault Detection in Photovoltaic Systems
Publications
zhs152@mail.ustc.edu.cn