Kwangsuk Lee

Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting

Min-Seung Ko, Kwangsuk Lee, Jae-Kyeong Kim et al. · IEEE Transactions on Sustainable Energy · 2020 · 240 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +13

Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction

Chang Woo Hong, Changmin Lee, Kwangsuk Lee et al. · Sensors · 2020 · 80 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

CNN and GRU combination scheme for Bearing Anomaly Detection in Rotating Machinery Health Monitoring

Kwangsuk Lee, Jae-Kyeong Kim, Jaehyong Kim et al. · 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) · 2018 · 41 citations

Fault Diagnosis, Convolutional Neural Network, Anomaly Detection +19

Explainable Artificial Intelligence for the Remaining Useful Life Prognosis of the Turbofan Engines

Chang Woo Hong, Changmin Lee, Kwangsuk Lee et al. · 2020 · 26 citations

Artificial Intelligence, Engineering, Machine Learning +21

Multivariate Time Series Forecasting for Remaining Useful Life of Turbofan Engine Using Deep-Stacked Neural Network and Correlation Analysis

Chang Woo Hong, Kwangsuk Lee, Min-Seung Ko et al. · 2020 · 22 citations

Intelligent Forecasting, Forecasting Methodology, Recurrent Neural Network +15