| Recurrent inception convolution neural network for multi short-term load forecasting J Kim, J Moon, E Hwang, P Kang Energy and Buildings 194, 328-341, 2019 | 201 | 2019 |
| Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron J Moon, Y Kim, M Son, E Hwang Energies 11 (12), 3283, 2018 | 151 | 2018 |
| Combination of short-term load forecasting models based on a stacking ensemble approach J Moon, S Jung, J Rew, S Rho, E Hwang Energy and Buildings 216, 109921, 2020 | 124 | 2020 |
| 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 | 109 | 2019 |
| Forecasting power consumption for higher educational institutions based on machine learning J Moon, J Park, E Hwang, S Jun The Journal of Supercomputing 74, 3778-3800, 2018 | 78 | 2018 |
| 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 | 73 | 2021 |
| A Short-Term Electric Load Forecasting Scheme Using 2-Stage Predictive Analytics J Moon, KH Kim, Y Kim, E Hwang 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | 56 | 2018 |
| 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 | 52 | 2020 |
| Habitat Suitability Estimation Using a Two-Stage Ensemble Approach J Rew, Y Cho, J Moon, E Hwang Remote Sensing 12 (9), 1475, 2020 | 50 | 2020 |
| Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods J Moon, J Kim, P Kang, E Hwang Energies 13 (4), 886, 2020 | 48 | 2020 |
| Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island J Park, J Moon, S Jung, E Hwang Remote Sensing 12 (14), 2271, 2020 | 45 | 2020 |
| Mid-term electricity load prediction using CNN and Bi-LSTM MJ Gul, GM Urfa, A Paul, J Moon, S Rho, E Hwang The Journal of Supercomputing 77, 10942-10958, 2021 | 42 | 2021 |
| Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines T Hussain, FU Min Ullah, K Muhammad, S Rho, A Ullah, E Hwang, ... International Journal of Energy Research 45 (3), 3590-3614, 2021 | 40 | 2021 |
| 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 |
| 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 | 37 | 2022 |
| 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 |
| A Short-Term Load Forecasting Scheme Based on Auto-Encoder and Random Forest M Son, J Moon, S Jung, E Hwang Applied Physics, System Science and Computers III: Proceedings of the 3rd …, 2019 | 32 | 2019 |
| Toward explainable electrical load forecasting of buildings: A comparative study of tree-based ensemble methods with Shapley values J Moon, S Rho, SW Baik Sustainable Energy Technologies and Assessments 54, 102888, 2022 | 25 | 2022 |
| Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist J Moon, S Park, S Rho, E Hwang Computational intelligence and neuroscience 2022, 2022 | 22 | 2022 |
| Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model F Ullah, J Moon, H Naeem, S Jabbar The Journal of Supercomputing 78 (17), 19246-19271, 2022 | 21 | 2022 |
Seungmin RhoDepartment of Industrial Security, Chung-Ang University, KoreaVerified email at cau.ac.kr
