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Mengshuo Jia
Mengshuo Jia
Inne imiona/nazwiska贾孟硕, Shuo
Senior Scientist, ETH Zürich
Zweryfikowany adres z ethz.ch - Strona główna
Tytuł
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Cytowane przez
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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
1492022
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
852021
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
772020
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
602022
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
582022
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
542022
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
402020
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
282020
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, 2021
262021
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
212018
Iterative decomposition of joint chance constraints in opf
M Jia, G Hug, C Shen
IEEE Transactions on Power Systems 36 (5), 4836-4839, 2021
192021
Privacy-preserving distributed probabilistic load flow
M Jia, Y Wang, C Shen, G Hug
IEEE Transactions on Power Systems 36 (2), 1616-1627, 2020
172020
Overview of data-driven power flow linearization
M Jia, G Hug
2023 IEEE Belgrade PowerTech, 01-06, 2023
152023
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
152022
Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach
Y Zhang, M Jia, H Wen, Y Bian, Y Shi
IEEE Transactions on Smart Grid, 2025, 2025
12*2025
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
112021
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
102023
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
72020
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
72018
Enabling Large Language Models to Perform Power System Simulations with Previously Unseen Tools: A Case of Daline
M Jia, Z Cui, G Hug
arXiv preprint arXiv:2406.17215, 2024
62024
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