Hefei, China

Rong Hu

This inventor holds 1 USPTO granted patent. Top assignee: Hefei University of Technology. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rong Hu. Retrieved from https://idiyas.com/inventor/rong-hu-5bk54lie

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Rong Hu in Load Forecasting

Introduction

Rong Hu is an accomplished inventor based in Hefei, China. He has made significant contributions to the field of load forecasting, particularly through his innovative methods and systems. His work focuses on enhancing the accuracy and efficiency of energy management.

Latest Patents

Rong Hu holds a patent for a "Multi-energy integrated short-term load forecasting method and system." This patent relates to the technical field of load forecasting. The disclosure provides a comprehensive approach to multi-energy integrated short-term load forecasting. It involves classifying acquired relevant data and using it to train a forecasting model. The model is built on multiple layers of temporal convolutional networks, incorporating a multi-head self-attention mechanism and rotary position embedding. This innovative approach allows for improved accuracy in forecasting and enhances the management level and service efficiency of integrated energy demand.

Career Highlights

Rong Hu is affiliated with Hefei University of Technology, where he contributes to research and development in energy forecasting technologies. His work has garnered attention for its practical applications in energy management and efficiency.

Collaborations

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Conclusion

Rong Hu's innovative contributions to load forecasting demonstrate his expertise and commitment to advancing energy management technologies. His patent reflects a significant step forward in improving the accuracy of energy forecasting systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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