Seoul, South Korea

Hyo Seop Lee

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Spotlight on Inventor Hyo Seop Lee: Innovating Power Generation Predictions

Introduction: Hyo Seop Lee, based in Seoul, South Korea, is an accomplished inventor with a focus on advancing methods for predicting power generation. He has contributed to the field with a noteworthy patent that harnesses meta-learning techniques to improve efficiency in energy forecasting.

Latest Patents: Hyo Seop Lee's most significant patent, titled "Method for prediction power generation using meta-learning, device and system using the same," introduces a comprehensive approach to forecasting power generation. The method involves a series of steps where a main server receives power generation data and weather data from multiple power plants. Key actions performed by the server include scaling the power generation data, generating a weather-power generation input sequence, and ultimately acquiring a power generation output sequence for a prediction period. This innovative approach aims to enhance the accuracy and reliability of power generation predictions.

Career Highlights: Hyo Seop Lee is currently employed by Encored Technologies, Inc., a company dedicated to delivering cutting-edge solutions in the energy sector. His work exemplifies a commitment to innovation, which is essential in today's rapidly evolving technological landscape.

Collaborations: Hyo Seop Lee collaborates closely with Chang Ho Shin, a talented coworker who contributes her expertise to their joint endeavors. Together, they are paving the way for new advancements in predicting electrical output and improving overall energy management strategies.

Conclusion: Hyo Seop Lee's innovative contributions to power generation predictions underscore the importance of technology in addressing contemporary energy challenges. His patent is a testament to the potential of meta-learning in optimizing power generation practices, and his continued work with Encored Technologies promises to lead to further advancements in the field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…