Hamburg, Germany

Venkata Swaroop Pappala

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Venkata Swaroop Pappala: Innovator in Grid Frequency Prediction

Introduction

Venkata Swaroop Pappala is a notable inventor based in Hamburg, Germany. He has made significant contributions to the field of renewable energy, particularly in the area of wind energy. His innovative approach to predicting grid frequency has the potential to enhance the efficiency of wind parks connected to utility grids.

Latest Patents

Pappala holds a patent for a method of predicting a frequency value of a utility grid to which a wind park is connected. This method involves obtaining multiple utility grid measurement values over a predetermined time range and feeding these values, along with wind park measurement values, into a recurrent neural network. The network is trained to output the frequency value at a future point in time, specifically between 0.5 seconds and 2 seconds after the present moment. This innovative approach aims to improve the reliability and performance of wind energy systems.

Career Highlights

Venkata Swaroop Pappala is currently employed at Siemens Gamesa Renewable Energy Innovation & Technology S.L. His work focuses on advancing technologies that support the integration of renewable energy sources into existing power grids. His expertise in predictive modeling and neural networks has positioned him as a valuable asset in the renewable energy sector.

Collaborations

Pappala has collaborated with several professionals in his field, including Maciej Marek Niegowski and Sergey Yashchenko. These collaborations have fostered an environment of innovation and have contributed to the development of cutting-edge technologies in renewable energy.

Conclusion

Venkata Swaroop Pappala is a pioneering inventor whose work in predicting grid frequency is shaping the future of renewable energy. His contributions are vital for enhancing the efficiency and reliability of wind energy systems.

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