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Bidding Mechanism Design for Building Virtual Power Plant to Participate in Demand Response Markets 建 筑 虚 拟 电 厂 参 与 需 求 响 应 市 场 的 报 量 报 价 机 制 设 计 Journal article
Qi, Taoyi, Hui, Hongxun, Ye, Chengjin, Ding, Yi, Zhao, Yuming, Song, Yonghua. Bidding Mechanism Design for Building Virtual Power Plant to Participate in Demand Response Markets 建 筑 虚 拟 电 厂 参 与 需 求 响 应 市 场 的 报 量 报 价 机 制 设 计[J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2024, 48(18), 14-24.
Authors:  Qi, Taoyi;  Hui, Hongxun;  Ye, Chengjin;  Ding, Yi;  Zhao, Yuming; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Bidding Mechanism  Demand Response  Electricity Market  Flexible Load  Urban Building  Virtual Power Plant  
Fast Frequency Regulation Utilizing Non-Aggregate Thermostatically Controlled Loads Based On Edge Intelligent Terminals Journal article
Qi, Taoyi, Ye, Chengjin, Hui, Hongxun, Zhao, Yuming. Fast Frequency Regulation Utilizing Non-Aggregate Thermostatically Controlled Loads Based On Edge Intelligent Terminals[J]. IEEE TRANSACTIONS ON SMART GRID, 2024, 15(4), 3571-3584.
Authors:  Qi, Taoyi;  Ye, Chengjin;  Hui, Hongxun;  Zhao, Yuming
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:8.6/9.6 | Submit date：2024/01/22
Fast Frequency Regulation  Thermostatically Controlled Load  Intelligent Terminal  Cloud-edge Collaboration  
Multi-view dynamic graph convolution neural network for traffic flow prediction Journal article
Huang,Xiaohui, Ye,Yuming, Yang,Xiaofei, Xiong,Liyan. Multi-view dynamic graph convolution neural network for traffic flow prediction[J]. Expert Systems with Applications, 2023, 222, 119779.
Authors:  Huang,Xiaohui;  Ye,Yuming;  Yang,Xiaofei;  Xiong,Liyan
Favorite | TC[WOS]:25 TC[Scopus]:27  IF:7.5/7.6 | Submit date：2023/08/03
Dynamic Fusion  Graph Convolution Network  Multi-view Encoder–decoders  Traffic Flow Prediction  
A multi-mode traffic flow prediction method with clustering based attention convolution LSTM Journal article
Huang, Xiaohui, Ye, Yuming, Wang, Cheng, Yang, Xiaofei, Xiong, Liyan. A multi-mode traffic flow prediction method with clustering based attention convolution LSTM[J]. Applied Intelligence, 2022, 52(13), 14773-14786.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Wang, Cheng;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:3 TC[Scopus]:10  IF:3.4/3.9 | Submit date：2022/05/13
Attention Mechanism  Encoder-decoder  Multi-mode  Spatial-temporal Data  Traffic Flow Prediction  
Multi-mode dynamic residual graph convolution network for traffic flow prediction Journal article
Huang, Xiaohui, Ye, Yuming, Ding, Weihua, Yang, Xiaofei, Xiong, Liyan. Multi-mode dynamic residual graph convolution network for traffic flow prediction[J]. INFORMATION SCIENCES, 2022, 609, 548-564.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Ding, Weihua;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:21 TC[Scopus]:23  IF:0/0 | Submit date：2022/08/02
Graph Convolution Network  Multi-mode Fusion  Spatio-temporal Data  Traffic Flow Prediction  
Multi-step Coupled Graph Convolution with Temporal-Attention for Traffic Flow Prediction Journal article
Huang, Xiaohui, Ye, Yuming, Yang, Xiaofei, Xiong, Liyan. Multi-step Coupled Graph Convolution with Temporal-Attention for Traffic Flow Prediction[J]. IEEE Access, 2022, 10, 48179-48192.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:3.4/3.7 | Submit date：2022/05/17
Graph Convolutional Network  Multi-step Attention  Traffic Flow Prediction