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Data driven parallel prediction of building energy consumption using generative adversarial nets 期刊论文
ENERGY AND BUILDINGS, 2019, 卷号: 186, 页码: 230-243
Authors:  Tian, Chenlu;  Li, Chengdong;  Zhang, Guiqing;  Lv, Yisheng
Favorite  |  View/Download:5/0  |  Submit date:2019/07/12
building energy consumption  deep learning  parallel prediction  Generative Adversarial Nets  
Efficient Confidence-Based Hierarchical Stereo Disparity Upsampling for Noisy Inputs 期刊论文
IEEE Access, 2019, 卷号: 0, 期号: 0, 页码: 0
Authors:  Xiang-bing Meng;  Mei Zhang;  Zhao-xing Zhang;  Rong Wang;  Zheng Geng;  Fei-Yue Wang
View  |  Adobe PDF(3168Kb)  |  Favorite  |  View/Download:124/37  |  Submit date:2018/10/09
Disparity Upsampling  Confidence Evaluation  Noise  Hierarchical Structure  Multichannel Upsampling  
Smart Choice for the Smart Grid: Narrowband Internet of Things (NB-IoT) 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2018, 卷号: 5, 期号: 3, 页码: 1505-1515
Authors:  Li YK(李玉珂);  X. Cheng;  Y. Cao;  D. Wang;  L. Yang
View  |  Adobe PDF(1367Kb)  |  Favorite  |  View/Download:37/21  |  Submit date:2019/06/08
Advanced Metering Infrastructure (Ami), Communication Technologies, Low Power Wide Area Network (Lpwan), Narrowband Internet Of Things (Nb-iot), Smart Grid  
MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2018, 卷号: 25, 期号: 4, 页码: 561-565
Authors:  Meng, Xiangbing;  Zhang, Zhaoxing;  Geng, Zheng;  Zhang, Mei;  Zhang M (张梅)
View  |  Adobe PDF(1065Kb)  |  Favorite  |  View/Download:53/11  |  Submit date:2018/10/03
Confidence Evaluation  Disparity Upsampling  Markov Random Field (Mrf)  Noise  Three-dimensional (3-d) Reconstruction  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
Authors:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
View  |  Adobe PDF(3543Kb)  |  Favorite  |  View/Download:94/10  |  Submit date:2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction 期刊论文
ENERGIES, 2018, 卷号: 11, 期号: 1
Authors:  Li, Chengdong;  Ding, Zixiang;  Yi, Jianqiang;  Lv, Yisheng;  Zhang, Guiqing
Favorite  |  View/Download:60/0  |  Submit date:2018/10/10
Building Energy Consumption Prediction  Deep Belief Network  Contrastive Divergence Algorithm  Least Squares Learning  Energy-consuming Pattern  
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 卷号: 29, 期号: 12, 页码: 2655-2668
Authors:  Bai, Jie;  Li, Linjing;  Zeng, Daniel;  Li, Qiudan
View  |  Adobe PDF(3183Kb)  |  Favorite  |  View/Download:86/10  |  Submit date:2018/01/04
Text Analysis  Knowledge Representation  Cognitive Simulation  Association Rules  
Optimization of electricity consumption in office buildings based on adaptive dynamic programming 期刊论文
SOFT COMPUTING, 2017, 卷号: 21, 期号: 21, 页码: 6369-6379
Authors:  Shi, Guang;  Wei, Qinglai;  Liu, Derong
View  |  Adobe PDF(1611Kb)  |  Favorite  |  View/Download:191/73  |  Submit date:2017/02/23
Office Buildings  Electricity Consumption Optimization  Battery Management  Optimal Control  Adaptive Dynamic Programming  Neural Networks  
Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
Authors:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
View  |  Adobe PDF(1918Kb)  |  Favorite  |  View/Download:72/3  |  Submit date:2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
Authors:  Wang, Ding;  He, Haibo;  Liu, Derong
View  |  Adobe PDF(1068Kb)  |  Favorite  |  View/Download:65/11  |  Submit date:2018/03/03
H-infinity Control  Adaptive Systems  Adaptive/approximate Dynamic Programming  Critic Network  Event-based Design  Learning Criterion  Neural Control