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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  
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)
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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
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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:59/0  |  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:85/10  |  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
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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:71/3  |  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
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H-infinity Control  Adaptive Systems  Adaptive/approximate Dynamic Programming  Critic Network  Event-based Design  Learning Criterion  Neural Control  
High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 卷号: 6, 期号: 8, 页码: 1-26
Authors:  Sun, Xiaofeng;  Lin, Xiangguo;  Shen, Shuhan;  Hu, Zhanyi
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Semantic Labeling  Random Forest  Conditional Random Field  Differential Morphological Profile  Ensemble Learning  
Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
Authors:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
View  |  Adobe PDF(3253Kb)  |  Favorite  |  View/Download:141/26  |  Submit date:2017/02/23
Recurrent Neural Nets  Neurocontrollers  Learning (Artificial Intelligence)  Office Environment  Optimal Control  Solar Power  Energy Consumption  Time Series  Secondary Cells  Energy Management Systems  Function Approximation  Echo State Network-based Q-learning Method  Optimal Battery Control  Renewable Energy  Optimal Energy Management  Solar Energy  Energy Consumption  Energy Demand  Time Series  Real-time Electricity Rate  Periodic Functions  Q-function  Optimal Charging Strategy  Optimal Discharging Strategy  Optimal Idle Strategy  Numerical Analysis