| A comparative analysis of artificial neural network architectures for building energy consumption forecasting J Moon, S Park, S Rho, E Hwang International Journal of Distributed Sensor Networks 15 (9), 1550147719877616, 2019 | 114 | 2019 |
| An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting † S Jung, J Moon, S Park, E Hwang Sensors 21 (5), 1639, 2021 | 80 | 2021 |
| Monthly electric load forecasting using transfer learning for smart cities SM Jung, S Park, SW Jung, E Hwang Sustainability 12 (16), 6364, 2020 | 66 | 2020 |
| Conditional tabular GAN-based two-stage data generation scheme for short-term load forecasting J Moon, S Jung, S Park, E Hwang IEEE Access 8, 205327-205339, 2020 | 63 | 2020 |
| Bagging ensemble of multilayer perceptrons for missing electricity consumption data imputation S Jung, J Moon, S Park, S Rho, SW Baik, E Hwang Sensors 20 (6), 1772, 2020 | 54 | 2020 |
| Sliding window-based LightGBM model for electric load forecasting using anomaly repair S Park, S Jung, S Jung, S Rho, E Hwang The Journal of Supercomputing 77, 12857-12878, 2021 | 44 | 2021 |
| Robust building energy consumption forecasting using an online learning approach with R ranger J Moon, S Park, S Rho, E Hwang Journal of Building Engineering 47, 103851, 2022 | 38 | 2022 |
| A two-stage industrial load forecasting scheme for day-ahead combined cooling, heating and power scheduling S Park, J Moon, S Jung, S Rho, SW Baik, E Hwang Energies 13 (2), 443, 2020 | 38 | 2020 |
| Explainable anomaly detection for district heating based on shapley additive explanations S Park, J Moon, E Hwang 2020 International Conference on Data Mining Workshops (ICDMW), 762-765, 2020 | 32 | 2020 |
| Animal movement prediction based on predictive recurrent neural network J Rew, S Park, Y Cho, S Jung, E Hwang Sensors 19 (20), 4411, 2019 | 26 | 2019 |
| Interpretable Short‐Term Electrical Load Forecasting Scheme Using Cubist J Moon, S Park, S Rho, E Hwang Computational intelligence and neuroscience 2022 (1), 6892995, 2022 | 22 | 2022 |
| Self-attention-based deep learning network for regional influenza forecasting S Jung, J Moon, S Park, E Hwang IEEE Journal of Biomedical and Health Informatics 26 (2), 922-933, 2021 | 17 | 2021 |
| A multilayer perceptron-based electric load forecasting scheme via effective recovering missing data J Moon, S Park, E Hwang KIPS Transactions on Software and Data Engineering 8 (2), 67-78, 2019 | 15 | 2019 |
| 2-Stage electric load forecasting scheme for day-ahead CCHP scheduling S Park, J Moon, E Hwang 2019 IEEE 13th International Conference on Power Electronics and Drive …, 2019 | 12 | 2019 |
| Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting. J Moon, S Jung, S Park, E Hwang Computers, Materials & Continua 68 (3), 2021 | 10 | 2021 |
| Model-agnostic meta-learning-based region-adaptive parameter adjustment scheme for influenza forecasting J Moon, Y Noh, S Park, E Hwang Journal of King Saud University-Computer and Information Sciences 35 (1 …, 2023 | 5 | 2023 |
| A Hybrid Tree-Based Ensemble Learning Model for Day-Ahead Peak Load Forecasting J Moon, S Park, E Hwang, S Rho 2022 15th International Conference on Human System Interaction (HSI), 1-6, 2022 | 5 | 2022 |
| Domain hybrid day-ahead solar radiation forecasting scheme J Park, S Park, J Shim, E Hwang Remote Sensing 15 (6), 1622, 2023 | 3 | 2023 |
| Shap-based explainable photovoltaic power forecasting scheme using lstm S Park, Y Noh, S Jung, E Hwang Proceedings of the Korea Information Processing Society Conference, 845-848, 2021 | 3 | 2021 |
| Training-Data Generation and Incremental Testing for Daily Peak Load Forecasting J Moon, S Park, S Jung, E Hwang, S Rho Advances in Artificial Intelligence and Applied Cognitive Computing, 807, 2021 | 3 | 2021 |
Eenjun HwangKorea University; Ajou University在 korea.ac.kr 的电子邮件经过验证
