| Residential load scheduling in smart grid: A cost efficiency perspective J Ma, HH Chen, L Song, Y Li IEEE transactions on smart grid 7 (2), 771-784, 2015 | 211 | 2015 |
| Incentive mechanism for demand side management in smart grid using auction J Ma, J Deng, L Song, Z Han IEEE Transactions on Smart Grid 5 (3), 1379-1388, 2014 | 162 | 2014 |
| Probabilistic wind power forecasting approach via instance-based transfer learning embedded gradient boosting decision trees L Cai, J Gu, J Ma, Z Jin Energies 12 (1), 159, 2019 | 64 | 2019 |
| Multiact dynamic game strategy for jamming attack in electricity market J Ma, Y Liu, L Song, Z Han IEEE Transactions on Smart Grid 6 (5), 2273-2282, 2015 | 56 | 2015 |
| Optimal power dispatching for local area packetized power network J Ma, L Song, Y Li IEEE Transactions on Smart Grid 9 (5), 4765-4776, 2017 | 55 | 2017 |
| An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning K Wu, J Gu, L Meng, H Wen, J Ma Protection and Control of Modern Power Systems 7 (2), 1-14, 2022 | 31 | 2022 |
| Probabilistic load forecasting via neural basis expansion model based prediction intervals H Wen, J Gu, J Ma, L Yuan, Z Jin IEEE transactions on smart grid 12 (4), 3648-3660, 2021 | 26 | 2021 |
| Two-tier energy compensation framework based on mobile vehicular electric storage N Chen, J Ma, M Wang, X Shen IEEE Transactions on Vehicular Technology 67 (12), 11719-11732, 2018 | 20 | 2018 |
| Sparse variational gaussian process based day-ahead probabilistic wind power forecasting H Wen, J Ma, J Gu, L Yuan, Z Jin IEEE Transactions on Sustainable Energy 13 (2), 957-970, 2022 | 19 | 2022 |
| Energy management framework for mobile vehicular electric storage N Chen, J Ma, M Li, M Wang, X Shen IEEE Network 33 (6), 148-155, 2019 | 16 | 2019 |
| Cost efficiency for economical mobile data traffic management from users’ perspective J Ma, L Song, Y Li IEEE Transactions on Wireless Communications 16 (1), 362-375, 2016 | 15 | 2016 |
| Continuous and distribution-free probabilistic wind power forecasting: A conditional normalizing flow approach H Wen, P Pinson, J Ma, J Gu, Z Jin IEEE Transactions on Sustainable Energy 13 (4), 2250-2263, 2022 | 13 | 2022 |
| Forecasting customers' response to incentives during peak periods: A transfer learning approach L Cai, H Wen, J Gu, J Ma, Z Jin International Transactions on Electrical Energy Systems 30 (7), e12251, 2020 | 13 | 2020 |
| Probabilistic wind power forecasting via Bayesian deep learning based prediction intervals H Wen, J Gu, J Ma, Z Jin 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 13 | 2019 |
| Compensation of charging station overload via on-road mobile energy storage scheduling N Chen, M Li, M Wang, J Ma, X Shen 2019 IEEE global communications conference (GLOBECOM), 1-6, 2019 | 11 | 2019 |
| Balanced interest distribution in smart grid: a Nash bargaining demand side management scheme P Wang, J Ma, L Song 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 11 | 2016 |
| Elastic energy distribution of local area packetized power networks to mitigate distribution level load fluctuation J Ma, N Zhang, X Shen IEEE Access 6, 8219-8231, 2018 | 9 | 2018 |
| Rudiment of energy internet<? show [AQ ID= Q1]?>: coordinated power dispatching of intra‐and inter‐local area packetised‐power networks J Ma IET Smart Grid 2 (2), 214-223, 2019 | 6 | 2019 |
| Featuring periodic correlations via dual granularity inputs structured RNNs ensemble load forecaster L Yuan, J Ma, J Gu, H Wen, Z Jin International Transactions on Electrical Energy Systems 30 (11), e12571, 2020 | 5 | 2020 |
| Low-complexity coordinated beamforming for full duplex MIMO wireless cellulars M Zou, J Ma, B Jiao IEEE Access 6, 33225-33237, 2018 | 5 | 2018 |
He (Henry) CHENChinese University of Hong KongVerified email at ie.cuhk.edu.hk
