Theo dõi
Yi Wang (王毅)
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Review of smart meter data analytics: Applications, methodologies, and challenges
Y Wang, Q Chen, T Hong, C Kang
IEEE Transactions on Smart Grid 10 (3), 3125-3148, 2019
13522019
Energy forecasting: A review and outlook
T Hong, P Pinson, Y Wang, R Weron, D Yang, H Zareipour
IEEE Open Access Journal of Power and Energy 7, 376-388, 2020
5422020
Probabilistic individual load forecasting using pinball loss guided LSTM
Y Wang, D Gan, M Sun, N Zhang, Z Lu, C Kang
Applied Energy 235, 10-20, 2019
4382019
Clustering of electricity consumption behavior dynamics toward big data applications
Y Wang, Q Chen, C Kang, Q Xia
IEEE transactions on smart grid 7 (5), 2437-2447, 2016
3962016
Optimal configuration planning of multi-energy systems considering distributed renewable energy
W Huang, N Zhang, J Yang, Y Wang, C Kang
IEEE Transactions on Smart Grid 10 (2), 1452-1464, 2017
3612017
Load profiling and its application to demand response: A review
Y Wang, Q Chen, C Kang, M Zhang, K Wang, Y Zhao
Tsinghua Science and Technology 20 (2), 117-129, 2015
3462015
A novel combined data-driven approach for electricity theft detection
K Zheng, Q Chen, Y Wang, C Kang, Q Xia
IEEE Transactions on Industrial Informatics 15 (3), 1809-1819, 2018
3252018
Data-driven probabilistic net load forecasting with high penetration of behind-the-meter PV
Y Wang, N Zhang, Q Chen, DS Kirschen, P Li, Q Xia
IEEE Transactions on Power Systems 33 (3), 3255-3264, 2018
3232018
Modeling carbon emission flow in multiple energy systems
Y Cheng, N Zhang, Y Wang, J Yang, C Kang, Q Xia
IEEE Transactions on Smart Grid 10 (4), 3562-3574, 2018
2862018
Mixed-Integer Linear Programming-Based Optimal Configuration Planning for Energy Hub: Starting from Scratch
Y Wang, N Zhang, Z Zhuo, C Kang, D Kirschen
Applied Energy 210, 1141-1150, 2018
2862018
能源互联网中的区块链技术: 研究框架与典型应用初探
张宁， 王毅， 康重庆， 程将南， 贺大玮
中国电机工程学报 36 (15), 4011-4022, 2016
283*2016
Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting
M Sun, T Zhang, Y Wang, G Strbac, C Kang
IEEE Transactions on Power Systems 35 (1), 188-201, 2020
2612020
Combining probabilistic load forecasts
Y Wang, N Zhang, Y Tan, T Hong, DS Kirschen, C Kang
IEEE Transactions on Smart Grid 10 (4), 3664-3674, 2019
2532019
Standardized Matrix Modeling of Multiple Energy Systems
Y Wang, N Zhang, C Kang, DS Kirschen, J Yang, Q Xia
IEEE Transactions on Smart Grid 10 (1), 257-270, 2019
2452019
Deep learning-based socio-demographic information identification from smart meter data
Y Wang, Q Chen, D Gan, J Yang, DS Kirschen, C Kang
IEEE Transactions on Smart Grid 10 (3), 2593-2602, 2018
2332018
Data-driven power flow linearization: A regression approach
Y Liu, N Zhang, Y Wang, J Yang, C Kang
IEEE Transactions on Smart Grid 10 (3), 2569-2580, 2018
2322018
An ensemble forecasting method for the aggregated load with subprofiles
Y Wang, Q Chen, M Sun, C Kang, Q Xia
IEEE Transactions on Smart Grid 9 (4), 3906-3908, 2018
2262018
Topology identification and line parameter estimation for non-PMU distribution network: A numerical method
J Zhang, Y Wang, Y Weng, N Zhang
IEEE Transactions on Smart Grid 11 (5), 4440-4453, 2020
2232020
5G 通信与泛在电力物联网的融合: 应用分析与研究展望
王毅， 陈启鑫， 张宁， 冯成， 滕飞， 孙铭阳， 康重庆
电网技术 43 (5), 1575-1585, 2019
223*2019
Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach
Y Li, J Li, Y Wang
IEEE Transactions on Industrial Informatics 18 (4), 2310-2320, 2021
1892021
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