Shengxian Cao
Northeast Electric Power University, Electric Power University
Papers
4
Total Citations
139
H-Index
3
About
Dr. Shengxian Cao is a leading innovator in sustainable energy infrastructure, specializing in the design and intelligent control of autonomous cleaning robots for photovoltaic (PV) systems. His primary research focuses on developing automated, water-free maintenance solutions for distributed solar panels, particularly in water-scarce regions where traditional cleaning is impractical. His most impactful work, a 2022 paper on a novel water-free cleaning robot for dust removal, has garnered 108 citations, underscoring its significance in addressing a critical bottleneck for PV efficiency. Dr. Cao further advanced the field with a vacuum-type cleaning robot design (2024) and a cleaning cycle optimization method (2021) that enhances automation and reduces operational costs. Beyond hardware, he has made notable contributions to control theory, proposing an echo state network with delay output (DO-ESN) for nonlinear systems, directly applied to crawling robots on PV panels. His integrated approach—combining mechanical design, intelligent control, and operational optimization—positions him as a key figure in making solar energy more reliable and economically viable in challenging environments.
Research Focus
Key Achievements
Top Papers
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