Company Filing History:
Years Active: 2021-2025
Title: Aijun Deng: Innovator in Solar Power Forecasting
Introduction
Aijun Deng is a notable inventor based in White Plains, NY (US). He has made significant contributions to the field of solar power forecasting, holding a total of 3 patents. His work focuses on improving the accuracy and reliability of solar power predictions, which is crucial for the advancement of renewable energy technologies.
Latest Patents
One of Aijun Deng's latest patents is titled "Systems and methods for distributed-solar power forecasting using parameter regularization." This innovative method involves receiving first historical meso-scale numerical weather predictions (NWP) and power flow information for a geographic distribution area. The process includes correcting for overfitting of the historical NWP predictions, reducing parameters in the first historical NWP predictions, and training first power flow models using the corrected data. The method further entails receiving current NWP predictions, applying the power flow models to generate power flow predictions, and comparing these predictions to thresholds to determine the significance of reverse power flows. Ultimately, a report is generated that includes predictions of reverse power flow and identifies the geographic distribution area.
Career Highlights
Aijun Deng is currently employed at Utopus Insights, Inc., where he continues to develop innovative solutions in the field of solar energy. His expertise in forecasting and modeling has positioned him as a key player in advancing solar power technologies.
Collaborations
Throughout his career, Aijun has collaborated with talented individuals such as Srivats Shukla and Younghun Kim. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in solar power forecasting.
Conclusion
Aijun Deng's contributions to solar power forecasting demonstrate his commitment to advancing renewable energy solutions. His innovative patents and collaborative efforts highlight the importance of accurate forecasting in the renewable energy sector.
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