Insulating materials for realising carbon neutrality: Opportunities, remaining issues and challenges C Li, Y Yang, G Xu, Y Zhou, M Jia, S Zhong, Y Gao, C Park, Q Liu, Y Wang, ... High Voltage 7 (4), 610-632, 2022 | 116 | 2022 |
Distributed generalized Nash equilibrium seeking for energy sharing games in prosumers Z Wang, F Liu, Z Ma, Y Chen, M Jia, W Wei, Q Wu IEEE Transactions on Power Systems 36 (5), 3973-3986, 2021 | 66 | 2021 |
Federated Clustering for Electricity Consumption Pattern Extraction Y Wang, M Jia, N Gao, L Von Krannichfeldt, M Sun, G Hug IEEE Transactions on Smart Grid 13 (3), 2425-2439, 2022 | 42 | 2022 |
Numerical weather prediction enhanced wind power forecasting: Rank ensemble and probabilistic fluctuation awareness C Liu, X Zhang, S Mei, Z Zhen, M Jia, Z Li, H Tang Applied Energy 313, 118769, 2022 | 40 | 2022 |
Concepts, characteristics and prospects of application of digital twin in power system C Shen, Q Cao, M Jia, Y Chen, S Huang Proceedings of the CSEE 42 (2), 487-498, 2022 | 38 | 2022 |
Digital twin of the energy internet and its application C Shen, M Jia, Y Chen, S Huang, Y Xiang Global Energy Interconnection 3 (1), 1-13, 2020 | 36 | 2020 |
Privacy-preserving distributed clustering for electrical load profiling M Jia, Y Wang, C Shen, G Hug IEEE Transactions on Smart Grid 12 (2), 1429-1444, 2020 | 26 | 2020 |
Iterative decomposition of joint chance constraints in opf M Jia, G Hug, C Shen IEEE Transactions on Power Systems 36 (5), 4836-4839, 2021 | 20 | 2021 |
A distributed probabilistic modeling algorithm for the aggregated power forecast error of multiple newly built wind farms M Jia, C Shen, Z Wang IEEE Transactions on Sustainable Energy 10 (4), 1857-1866, 2018 | 16 | 2018 |
Privacy-preserving distributed probabilistic load flow M Jia, Y Wang, C Shen, G Hug IEEE Transactions on Power Systems 36 (2), 1616-1627, 2020 | 14 | 2020 |
电力系统数字孪生的概念, 特点及应用展望 沈沉, 曹仟妮, 贾孟硕, 陈颖, 黄少伟 中国电机工程学报 42 (2), 487-498, 2022 | 13 | 2022 |
能源互联网数字孪生及其应用 沈沉, 贾孟硕, 陈颖, 黄少伟, 向月 Journal of Global Energy Interconnection 3 (1), 2020 | 13 | 2020 |
Overview of data-driven power flow linearization M Jia, G Hug 2023 IEEE Belgrade PowerTech, 01-06, 2023 | 10 | 2023 |
Convergence analysis of dual decomposition algorithm in distributed optimization: Asynchrony and inexactness Y Su, Z Wang, M Cao, M Jia, F Liu IEEE Transactions on Automatic Control, 2022 | 9 | 2022 |
Tutorial on data-driven power flow linearization-part i: Challenges and training algorithms M Jia, G Hug, N Zhang, Z Wang, Y Wang ETH Zurich, 2023 | 8 | 2023 |
Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error M Jia, S Huang, Z Wang, C Shen Renewable Energy 163, 1318-1332, 2021 | 7 | 2021 |
Frequency-control-aware probabilistic load flow: An analytical method M Jia, Q Cao, C Shen, G Hug IEEE Transactions on Power Systems 38 (6), 5170-5187, 2022 | 5 | 2022 |
A distributed incremental update scheme for probability distribution of wind power forecast error M Jia, C Shen, Z Wang International Journal of Electrical Power & Energy Systems 121, 106151, 2020 | 5 | 2020 |
An investigation on the applicability of the integrated method for multi-carrier energy flow analysis M Jia, S Huang, K Tang, C Shen 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 5 | 2018 |
Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages Y Zhang, M Jia, H Wen, Y Shi arXiv preprint arXiv:2309.00803, 2023 | 4 | 2023 |