Lee Dohyun, Student at Korea University of Energy Science, Receives 'Outstanding Paper Award' from Korean Society of New and Renewable Energy

Korea University of Energy and Technology (President Yoon Euijun, KENTECH) announced on the 4th that Lee Dohyun (2nd year) recently received the Excellent Paper Award at the 2023 Spring Conference of the Korean Society of New and Renewable Energy held in Busan.

At the conference, Lee presented research results on short-term wind power generation forecasting using neural networks.

Instead of using conventional time series prediction models such as LSTM (Long Short-Term Memory Networks), RNN (Recurrent Neural Network), and ESN (Echo State Neural Network), he employed Reservoir Computing.

Reservoir Computing is characterized by constructing a Reservoir that acts as Hidden Layers using dynamics instead of artificial neural networks. Lee designed the Reservoir using the Kuramoto dynamic model.

Notably, in May at the Spring Conference of the Society for Industrial and Applied Mathematics, he presented on wind power forecasting using Reservoir Computing and won an Excellence Award, achieving the remarkable feat of winning consecutive awards at academic conferences.

Professor Kim Hyunju, Lee’s advisor, said, “The research presented at the Korean Society of New and Renewable Energy Spring Conference is an advancement of the Reservoir Computing model that was presented at the Society for Industrial and Applied Mathematics Spring Conference. They applied a preprocessing process optimized for wind time series data and improved prediction accuracy by using not only actual data but also Numerical Weather Prediction (NWP) data.”

She added, “The focus was on optimizing Reservoir Computing for wind power time series data prediction to maximize efficiency and accuracy.”

She also said, “You might wonder, ‘How can undergraduates participate in research?’ Until the Fourth Industrial Revolution, I thought the same. We are conducting research with various students, including Lee Dohyun, on diverse research topics, and I am confident that if these students pursue graduate studies, they will have research capabilities far superior to other graduate students.”

This content was produced with the assistance of AI translation services.