| Smart machining process using machine learning: A review and perspective on machining industry DH Kim, TJY Kim, X Wang, M Kim, YJ Quan, JW Oh, SH Min, H Kim, ... International Journal of Precision Engineering and Manufacturing-Green …, 2018 | 327 | 2018 |
| Real-time prediction and anomaly detection of electrical load in a residential community X Wang, SH Ahn Applied Energy 259, 114145, 2020 | 92 | 2020 |
| Sample efficient home power anomaly detection in real time using semi-supervised learning X Wang, I Yang, SH Ahn IEEE Access 7, 139712-139725, 2019 | 62 | 2019 |
| A real-time electrical load forecasting and unsupervised anomaly detection framework X Wang, Z Yao, M Papaefthymiou Applied Energy 330, 120279, 2023 | 52 | 2023 |
| AI-empowered methods for smart energy consumption: A review of load forecasting, anomaly detection and demand response X Wang, H Wang, B Bhandari, L Cheng International Journal of Precision Engineering and Manufacturing-Green …, 2024 | 47 | 2024 |
| Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania X Wang, H Wang, SH Ahn Energy 224, 120229, 2021 | 42 | 2021 |
| Low-cost far-field wireless electrical load monitoring system applied in an off-grid rural area of Tanzania X Wang, B Ha, GY Lee, H Kim, J Yu, H Rhee, KN Njau, YAC Jande, ... Sustainable Cities and Society 59, 102209, 2020 | 15 | 2020 |
| Real-time detection of electrical load anomalies through hyperdimensional computing X Wang, R Flores, J Brouwer, M Papaefthymiou Energy 261, 125042, 2022 | 12 | 2022 |
| Off-grid power plant load management system applied in a rural area of africa X Wang, HS Rhee, SH Ahn Applied Sciences 10 (12), 4171, 2020 | 11 | 2020 |
| Arduino-based low-cost electrical load tracking system with a long-range mesh network XL Wang, B Ha, FA Manongi, WK Jung, YAC Jande, SH Ahn Advances in Manufacturing 9, 47-63, 2021 | 7 | 2021 |
| A dual-mode real-time electrical load forecasting framework X Wang, M Papaefthymiou 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2022 | 6 | 2022 |
| A reinforcement learning-based online learning strategy for real-time short-term load forecasting X Wang, H Wang, S Li, H Jin Energy 305, 132344, 2024 | 2 | 2024 |
| An environment-adaptive SAC-based HVAC control of single-zone residential and office buildings X Wang, N Mahdavi, S Sethuvenkatraman, S West Data-Centric Engineering 6, e3, 2025 | | 2025 |
| An Electrical Load Forecasting Method Using An Improved Online Training Strategy X Wang, H Jin, M Papaefthymiou 2023 IEEE International Conference on Energy Technologies for Future Grids …, 2023 | | 2023 |
| Dynamic XGBoost-based Quantile Predictor for Real-time Electricity Price Forecasting T Bao, X Wang, N Mahdavi, C McCarthy, D Rezazadegan 2023 IEEE International Conference on Energy Technologies for Future Grids …, 2023 | | 2023 |
| Vaccine Cold Chain Monitoring System Using IoT Vaccine Fridge for Developing Countries JH Lyu, S Park, JH Yu, XL Wang, HS Im, HS Rhee, SH Ahn Journal of Appropriate Technology 7 (1), 26-32, 2021 | | 2021 |
Sung-Hoon Ahn (안성훈 교수)Professor, Mechanical Engineering, Seoul National University, KoreaVerified email at snu.ac.kr