Adelsdorf, Germany

Patrick Reeb

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Innovations by Patrick Reeb in Solar Irradiation Prediction

Introduction

Patrick Reeb is an accomplished inventor based in Adelsdorf, Germany. He has made significant contributions to the field of solar energy through his innovative patents. With a total of three patents to his name, Reeb's work focuses on improving the efficiency of photovoltaic power generation.

Latest Patents

One of Reeb's latest patents is titled "Solar irradiation prediction using deep learning with end-to-end training." This invention utilizes deep learning techniques to train a neural network for the short-term prediction of solar irradiation based on camera images and metadata. The architecture of the neural network incorporates a recurrent network to account for temporal considerations. By inputting images and metadata at different locations within the neural network, the resulting machine-learned model can predict solar irradiation effectively. This innovation allows for better control of solar plants and backup power sources, minimizing output power variation.

Another notable patent is "Automatic generation of reference curves for improved short term irradiation prediction in PV power generation." This system and method correct short-term irradiance predictions for the control of photovoltaic power stations. It includes an irradiance data manager that generates an observed irradiance curve based on measurements from an irradiation sensor. Additionally, a reference curve generation engine creates a reference curve representative of irradiance values for a clear sky day. The invention also features an irradiance prediction engine that generates a prediction curve based on image segmentation and motion filtering of cloud pixels in sky images. A prediction correction engine further refines the irradiance prediction curve using probabilistic analysis.

Career Highlights

Patrick Reeb is currently employed at Siemens Aktiengesellschaft, where he continues to develop innovative solutions in the field of solar energy. His work has garnered attention for its potential to enhance the efficiency and reliability of solar power generation.

Collaborations

Reeb has collaborated with notable colleagues, including Ti-chiun Chang and Joachim Bamberger. Their combined expertise contributes to the advancement of technologies in renewable energy.

Conclusion

Patrick Reeb's innovative patents in solar irradiation prediction demonstrate his commitment to advancing renewable energy technologies. His work not only enhances the efficiency of photovoltaic systems but also contributes to the broader goal of sustainable energy solutions.

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