Alcala de Henares, Spain

Manuel Garcia Plaza


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Manuel Garcia Plaza: Innovator in Renewable Energy

Introduction

Manuel Garcia Plaza is a notable inventor based in Alcala de Henares, Spain. 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

Manuel 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 leading up to the present moment. Additionally, it incorporates wind park measurement values from the same time range. The data is then fed into a recurrent neural network that is trained to output the frequency value at future points in time, specifically between 0.5 seconds and 2 seconds after the current moment. This innovative method aims to improve the reliability and performance of wind energy systems.

Career Highlights

Manuel Garcia Plaza 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 positions him as a key player in the renewable energy sector.

Collaborations

Manuel collaborates with talented professionals in his field, including Juan Fernandez Diaz and Fernando Roque Martinez Mendoza. These collaborations foster an environment of innovation and creativity, driving advancements in renewable energy technologies.

Conclusion

Manuel Garcia Plaza is a pioneering inventor whose work in predicting grid frequency is set to make a significant impact on the renewable energy landscape. His contributions reflect a commitment to enhancing the efficiency and reliability of wind energy systems.

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