UM

Browse/Search Results:  1-6 of 6 Help

Selected(0)Clear Items/Page:    Sort:
Investigating the Intense Sediment Load by Dam-Break Floods Using a Meshless Two-Phase Mathematical Model Journal article
Guan, Xiafei, Hu, Kailun, Chen, Xin, Gao, Junliang, Shi, Huabin. Investigating the Intense Sediment Load by Dam-Break Floods Using a Meshless Two-Phase Mathematical Model[J]. Water Resources Research, 2024, 60(7), e2023WR035339.
Authors:  Guan, Xiafei;  Hu, Kailun;  Chen, Xin;  Gao, Junliang;  Shi, Huabin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.9 | Submit date:2024/08/05
Bed Load Transport  Dam-break Flood  Disaster Emergency Management  Two-phase Sph Model  
Leveraging Electric Vehicles to Enhance Resilience of Interconnected Power-Transportation System Under Natural Hazards Journal article
Kong, Lingming, Zhang, Hongcai, Xie, Dunjian, Dai, Ningyi. Leveraging Electric Vehicles to Enhance Resilience of Interconnected Power-Transportation System Under Natural Hazards[J]. IEEE Transactions on Transportation Electrification, 2024.
Authors:  Kong, Lingming;  Zhang, Hongcai;  Xie, Dunjian;  Dai, Ningyi
Favorite | TC[Scopus]:0  IF:7.2/7.9 | Submit date:2024/06/05
Costs  Electric Vehicle  Hazard  Hazards  Interconnected Power-transportation System  Load Restoration  Resilience  Resilience  Resource Management  Routing  Transportation  Uncertainty  
Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets Journal article
Liu, Liu, Ding, Zhijun, Cheng, Dazhao, Zhou, Xiaobo. Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 370-387.
Authors:  Liu, Liu;  Ding, Zhijun;  Cheng, Dazhao;  Zhou, Xiaobo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/4.6 | Submit date:2024/05/16
Adaptation Models  Byzantine Gradient  Computational Modeling  Data Models  Distributed Databases  Distributed Dataset  Graphics Processing Units  Load Management  Machine Learning Training  Straggler  Training  
Network Pricing with Investment Waiting Cost based on Real Options under Uncertainties Journal article
Yan, Xiaohe, Gu, Chenghong, Zhang, Hongcai, Liu, Nian, Li, Furong, Song, Yonghua. Network Pricing with Investment Waiting Cost based on Real Options under Uncertainties[J]. IEEE Transactions on Power Systems, 2023, 38(1), 427-435.
Authors:  Yan, Xiaohe;  Gu, Chenghong;  Zhang, Hongcai;  Liu, Nian;  Li, Furong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:6.5/7.4 | Submit date:2022/05/17
Costs  Energy Storage  Investment  Load Flow  Long-run Incremental Cost  Network Charges  Network Investment  Pricing  Real Options  Resource Management  Uncertainty  Uncertainty  
Game-Theoretic Demand Side Management of Thermostatically Controlled Loads for Smoothing Tie-Line Power of Microgrids Journal article
Ding, Yi, Xie, Dunjian, Hui, Hongxun, Xu, Yan, Siano, Pierluigi. Game-Theoretic Demand Side Management of Thermostatically Controlled Loads for Smoothing Tie-Line Power of Microgrids[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36(5), 4089-4101.
Authors:  Ding, Yi;  Xie, Dunjian;  Hui, Hongxun;  Xu, Yan;  Siano, Pierluigi
Favorite | TC[WOS]:38 TC[Scopus]:52  IF:6.5/7.4 | Submit date:2021/12/08
Demand-side Management  Game Theory  Microgrid  Thermostatically Controlled Load  
Non-intrusive load monitoring based on convolutional neural network with differential input Conference paper
Zhang,Yuanmeng, Yang,Guanghua, Ma,Shaodan. Non-intrusive load monitoring based on convolutional neural network with differential input[C], 2019, 670-674.
Authors:  Zhang,Yuanmeng;  Yang,Guanghua;  Ma,Shaodan
Favorite | TC[WOS]:27 TC[Scopus]:34 | Submit date:2021/03/11
Convolutional Neural Network (Cnn)  Differential Input  Energy Management System (Ems)  Non-intrusive Load Monitoring (Nilm)