| Deep neural network estimation of inter-area oscillation mode based on synchrophasor data F Senesoulin, K Hongesombut, S Dechanupaprittha 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD …, 2019 | 5 | 2019 |
| Estimation of dominant power oscillation modes based on ConvLSTM approach using synchrophasor data and cross-validation technique Sustainable Energy, Grids and Networks 31, 100731, 2022 | 4* | 2022 |
| ConvLSTM-Based Real-Time Power Flow Estimation of Smart Grid with High Penetration of Uncertain PV Considering Measurement Noise F Senesoulin, K Hongesombut, I Ngamroo, S Dechanupaprittha Computers and Electrical Engineering 109108 (115), 2024 | 2 | 2024 |
| Estimation of dominant power oscillation mode using LSTM-RNN based on synchrophasor data F Senesoulin, K Hongesombut, S Dechanupaprittha 2019 IEEE International Conference on Environment and Electrical Engineering …, 2019 | 2 | 2019 |
| ConvLSTM based Real-time Power Flow Estimation of Smart Grid with High Penetration of Uncertain PV F Senesoulin, I Ngamroo, S Dechanupaprittha NEIS 2022; Conference on Sustainable Energy Supply and Energy Storage …, 2023 | 1 | 2023 |
Sanchai DechanupapritthaElectrical Engineering, Kasetsart University, Thailand在 ku.ac.th 的电子邮件经过验证
Sanchai DechanupapritthaElectrical Engineering, Kasetsart University, Thailand在 ku.ac.th 的电子邮件经过验证
Komsan HongesombutAssociate Professor of Electrical Engineering, Kasetsart University在 ku.th 的电子邮件经过验证