Jusong Kang

Title: Innovations by Jusong Kang in Non-Intrusive Load Monitoring

Introduction

Jusong Kang is an innovative inventor based in Hangzhou, China. He has made significant contributions to the field of load monitoring through his unique approach that integrates neural networks and real-time data analysis. His work is particularly focused on enhancing the efficiency of energy consumption monitoring in households.

Latest Patents

Jusong Kang holds a patent for a "Non-intrusive load monitoring method based on V—I trajectory and neural network." This method involves collecting household voltage, current, and active power data in real time. It determines whether there is a switching event and whether the load operating state has reached a steady state through changes in active power. The process includes obtaining voltage, current, and power data of the load, converting the V-I trajectory into an RGB color image that contains phase difference information, and performing load monitoring through a pre-trained convolutional neural network. This innovative approach allows for the extraction of steady-state features of the load, enabling the neural network model to run directly on embedded devices without relying on server computing support.

Career Highlights

Jusong Kang is affiliated with Zhejiang University, where he continues to advance his research and development in the field of load monitoring technologies. His work has garnered attention for its practical applications in energy efficiency and smart home technologies.

Collaborations

Jusong collaborates with notable colleagues, including Lingxia Lu and Miao Yu, who contribute to his research endeavors and help enhance the impact of his innovations.

Conclusion

Jusong Kang's contributions to non-intrusive load monitoring represent a significant advancement in energy management technology. His innovative methods and collaboration with esteemed colleagues position him as a key figure in the field.