Min-Seung Ko

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

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

Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting

Min-Seung Ko, Kwangsuk Lee, Kyeon Hur · IEEE Transactions on Industrial Informatics · 2022 · 13 citations

Forecasting Methodology, Deep Learning Model, Probabilistic Forecasting +14