| Household energy consumption segmentation using hourly data J Kwac, J Flora, R Rajagopal IEEE Transactions on Smart Grid 5 (1), 420-430, 2014 | 630 | 2014 |
| Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance J Koo, J Kwac, W Ju, M Steinert, L Leifer, C Nass International Journal on Interactive Design and Manufacturing (IJIDeM) 9 …, 2015 | 585 | 2015 |
| Data-driven targeting of customers for demand response J Kwac, R Rajagopal IEEE Transactions on Smart Grid 7 (5), 2199-2207, 2015 | 92 | 2015 |
| Demand response targeting using big data analytics J Kwac, R Rajagopal 2013 IEEE International Conference on Big Data, 683-690, 2013 | 78 | 2013 |
| Lifestyle segmentation based on energy consumption data J Kwac, J Flora, R Rajagopal IEEE Transactions on Smart Grid 9 (4), 2409-2418, 2016 | 70 | 2016 |
| Utility customer segmentation based on smart meter data: Empirical study J Kwac, CW Tan, N Sintov, J Flora, R Rajagopal 2013 IEEE international conference on smart grid communications …, 2013 | 66 | 2013 |
| Effects of ZrO2 doping on HfO2 resistive switching memory characteristics SW Ryu, S Cho, J Park, J Kwac, HJ Kim, Y Nishi Applied physics letters 105 (7), 2014 | 45 | 2014 |
| Efficient customer selection process for various DR objectives J Kwac, JI Kim, R Rajagopal IEEE transaction on Smart Grid, 2017 | 34 | 2017 |
| Drivers of variability in energy consumption A Albert, T Gebru, J Ku, J Kwac, J Leskovec, R Rajagopal ECML-PKDD DARE workshop on energy analytics, 2013 | 22 | 2013 |
| Learning from hourly household energy consumption: extracting, visualizing and interpreting household smart meter data S Borgeson, JA Flora, J Kwac, CW Tan, R Rajagopal Design, User Experience, and Usability: Interactive Experience Design: 4th …, 2015 | 20 | 2015 |
| Toward sparse coding on cosine distance J Choi, H Cho, J Kwac, LS Davis 2014 22nd International Conference on Pattern Recognition, 4423-4428, 2014 | 17 | 2014 |
| Customer energy consumption segmentation using time-series data J Flora, J Kwac, R Rajagopal US Patent App. 14/567,615, 2015 | 16 | 2015 |
| Targeting customers for demand response based on big data J Kwac, R Rajagopal arXiv preprint arXiv:1409.4119, 2014 | 10 | 2014 |
| Data-driven targeting of energy programs using time-series data J Kwac, R Rajagopal US Patent App. 14/567,648, 2015 | 5 | 2015 |
| A Travel Time Prediciton with Machine Learning Algorithms Y Cho, J Kwac Machine Learning-Project (CS 229), 2007 | 4 | 2007 |
| Multiple-input streams attention (MISA) network for skeleton-based construction workers' action recognition using body-segment representation strategies Y Tian, J Chen, JI Kim, J Kwac Automation in Construction 156, 105104, 2023 | 3 | 2023 |
| Customer selection utilizing big data analytics J Kwac, R Rajagopal Handbook of Statistics 33, 89-106, 2015 | 3 | 2015 |
| visdom: R package for energy data analytics S Borgeson, J Kwac R package version 0.9, 2015 | 2 | 2015 |
| Automatic Creative Selection with Cross-Modal Matching GG Alex Kim, Jia Huang, Rob Monarch, Jerry Kwac, Anikesh Kamath, Parmeshwar ... https://arxiv.org/abs/2405.00029, 2024 | | 2024 |
| Data Mining for Demand Management: Segmentation, Targeting, and Analytics Visualization J Kwac Stanford University, 2015 | | 2015 |
