| Convolutional autoencoder based feature extraction and clustering for customer load analysis S Ryu, H Choi, H Lee, H Kim IEEE Transactions on Power Systems 35 (2), 1048-1060, 2019 | 122 | 2019 |
| Subtask gated networks for non-intrusive load monitoring C Shin, S Joo, J Yim, H Lee, T Moon, W Rhee Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1150-1157, 2019 | 119 | 2019 |
| The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea C Shin, E Lee, J Han, J Yim, W Rhee, H Lee Scientific data 6 (1), 193, 2019 | 80 | 2019 |
| Data requirements for applying machine learning to energy disaggregation C Shin, S Rho, H Lee, W Rhee Energies 12 (9), 1696, 2019 | 67 | 2019 |
| Increase in household energy consumption due to ambient air pollution J Eom, M Hyun, J Lee, H Lee Nature Energy 5 (12), 976-984, 2020 | 52 | 2020 |
| Defining virtual control group to improve customer baseline load calculation of residential demand response E Lee, K Lee, H Lee, E Kim, W Rhee Applied Energy 250, 946-958, 2019 | 31 | 2019 |
| Residential load profile clustering via deep convolutional autoencoder S Ryu, H Choi, H Lee, H Kim, VWS Wong 2018 IEEE international conference on communications, control, and computing …, 2018 | 27 | 2018 |
| Calculating the benefits of sponsored data for an individual content provider M Andrews, G Bruns, H Lee 2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014 | 26 | 2014 |
| Understanding quota dynamics in wireless networks M Andrews, G Bruns, M Doğru, H Lee ACM Transactions on Internet Technology (TOIT) 14 (2-3), 1-17, 2014 | 23 | 2014 |
| Laplace transformation method for the Black-Scholes equation H Lee, D Sheen arXiv preprint arXiv:0901.4604, 2009 | 23 | 2009 |
| Laplace transform method for parabolic problems with time-dependent coefficients H Lee, J Lee, D Sheen SIAM Journal on Numerical Analysis 51 (1), 112-125, 2013 | 14 | 2013 |
| Improving the energy saving process with high-resolution data: A case study in a university building J Han, E Lee, H Cho, Y Yoon, H Lee, W Rhee Sensors 18 (5), 1606, 2018 | 9 | 2018 |
| A computational agent-based modeling approach for competitive wireless service market CC Douglas, H Lee, W Lee 2011 International Conference on Information Science and Applications, 1-6, 2011 | 8 | 2011 |
| Higher-order schemes for the Laplace transformation method for parabolic problems C Douglas, I Kim, H Lee, D Sheen Computing and visualization in science 14 (1), 39, 2011 | 7 | 2011 |
| Assuring explainability on demand response targeting via credit scoring K Lee, H Lee, H Lee, Y Yoon, E Lee, W Rhee Energy 161, 670-679, 2018 | 6 | 2018 |
| NUMERICAL APPROXIMATION OF OPTION PRICING MODEL UNDER JUMP DIFFUSION USING THE LAPLACE TRANSFORMATION METHOD. H Lee, D Seen International Journal of Numerical Analysis & Modeling 8 (4), 2011 | 4 | 2011 |
| Basket option pricing using GP-GPU hardware acceleration CC Douglas, H Lee 2010 Ninth International Symposium on Distributed Computing and Applications …, 2010 | 4 | 2010 |
| 확장된 기술수용모델을 이용한 가정용 에너지 수요반응 프로그램 실증분석 정은아， 이경은， 김화영， 정소라， 이효섭， 서봉원， 이원종 한국 HCI 학회 논문지 12 (4), 65-73, 2017 | 3 | 2017 |
| International conference on computational science, ICCS 2010 data-driven pill monitoring CC Douglas, L Deng, G Haase, H Lee, RA Lodder Procedia Computer Science 1 (1), 1213-1220, 2010 | 3 | 2010 |
| 소규모 전력 소비자 대상 수요자원 거래시장의 필요성 및 시범운영 결과 분석 이은정， 이경은， 이혜수， 이효섭， 김은철， 이원종 한국통신학회논문지 42 (4), 915-922, 2017 | 2 | 2017 |
Wonjong RheeSeoul National University在 snu.ac.kr 的电子邮件经过验证
