Search Results - "Jia, Qing"

Distributed Coordination of EV Charging With Renewable Energy in a Microgrid of Buildings by Yang, Yu, Jia, Qing-Shan, Deconinck, Geert, Guan, Xiaohong, Qiu, Zhifeng, Hu, Zechun

“…With the rapid development of electric vehicles (EVs), the consequent charging demand represents a significant new load on the power grids. The huge number of…”
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Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System by Wang, Gongming, Jia, Qing-Shan, Qiao, Junfei, Bi, Jing, Zhou, MengChu

“…A continuous stirred-tank reactor (CSTR) system is widely applied in wastewater treatment processes. Its control is a challenging industrial-process-control…”
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Efficient Real-Time EV Charging Scheduling via Ordinal Optimization by Long, Teng, Jia, Qing-Shan, Wang, Gongming, Yang, Yu

“…The surge of plug-in electric vehicles (PEV) on the roads poses the issue to handle the substantial charging demand. Particularly, the operation of charging…”
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Robust Scheduling of EV Charging Load With Uncertain Wind Power Integration by Huang, Qilong, Jia, Qing-Shan, Guan, Xiaohong

“…In some micro grids, the charging of electric vehicles (EVs) and the generation of wind power may partially cancel each other. This is an effective way to…”
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Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality by Junfeng Wu, Qing-Shan Jia, Johansson, K. H., Ling Shi

“…We consider sensor data scheduling for remote state estimation. Due to constrained communication energy and bandwidth, a sensor needs to decide whether it…”
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An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines by Wang, Gongming, Qiao, Junfei, Bi, Jing, Jia, Qing-Shan, Zhou, MengChu

“…Deep belief network (DBN) is an efficient learning model for unknown data representation, especially nonlinear systems. However, it is extremely hard to design…”
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Mass Transfer Between Recirculation and Main Flow Zones: Is Physically Based Parameterization Possible? by Zhou, Jia‐Qing, Wang, Lichun, Chen, Yi‐Feng, Cardenas, M. Bayani

“…Recirculation zones (RZs) are common in many geophysical flows. These zones form near irregular solid boundaries and are separate from the main flow. Since…”
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A Review of the Extraction and Determination Methods of Thirteen Essential Vitamins to the Human Body: An Update from 2010 by Zhang, Yuan, Zhou, Wei-E, Yan, Jia-Qing, Liu, Min, Zhou, Yu, Shen, Xin, Ma, Ying-Lin, Feng, Xue-Song, Yang, Jun, Li, Guo-Hui

“…Vitamins are a class of essential nutrients in the body; thus, they play important roles in human health. The chemicals are involved in many physiological…”
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Universal Relationship Between Viscous and Inertial Permeability of Geologic Porous Media by Zhou, Jia‐Qing, Chen, Yi‐Feng, Wang, Lichun, Cardenas, M. Bayani

“…Fluid flow through geologic porous media is represented by Darcy's law and its inertial and nonlinear extension, the Forchheimer equation. These relationships…”
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GCG inhibits SARS-CoV-2 replication by disrupting the liquid phase condensation of its nucleocapsid protein by Zhao, Ming, Yu, Yu, Sun, Li-Ming, Xing, Jia-Qing, Li, Tingting, Zhu, Yunkai, Wang, Miao, Yu, Yin, Xue, Wen, Xia, Tian, Cai, Hong, Han, Qiu-Ying, Yin, Xiaoyao, Li, Wei-Hua, Li, Ai-Ling, Cui, Jiuwei, Yuan, Zhenghong, Zhang, Rong, Zhou, Tao, Zhang, Xue-Min, Li, Tao

“…Lack of detailed knowledge of SARS-CoV-2 infection has been hampering the development of treatments for coronavirus disease 2019 (COVID-19). Here, we report…”
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Efficient Sampling Policy for Selecting a Subset With the Best by Zhang, Gongbo, Chen, Bin, Jia, Qing-Shan, Peng, Yijie

“…In this article, we study the problem of selecting a subset with the best of a finite number of alternatives under a fixed simulation budget. Our work aims to…”
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A sparse deep belief network with efficient fuzzy learning framework by Wang, Gongming, Jia, Qing-Shan, Qiao, Junfei, Bi, Jing, Liu, Caixia

“…Deep belief network (DBN) is one of the most feasible ways to realize deep learning (DL) technique, and it has been attracting more and more attentions in…”
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Body mass index and carpal tunnel syndrome: A case-control study by Chen, Jia-Qing, Wang, Duo, Liu, Bin

“…To investigate the electrophysiological characteristics of carpal tunnel syndrome (CTS) and to evaluate the relationship between electrophysiological indexes…”
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Decentralized EV-Based Charging Optimization With Building Integrated Wind Energy by Yang, Yu, Jia, Qing-Shan, Guan, Xiaohong, Zhang, Xuan, Qiu, Zhifeng, Deconinck, Geert

“…Electric vehicles (EVs) have experienced a rapid growth due to the economic and environmental benefits. However, the substantial charging load brings…”
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Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply by Long, Teng, Jia, Qing-Shan

“…The transition to the zero-carbon power system is underway accelerating recently. Hydrogen energy and electric vehicles (EVs) are promising solutions on the…”
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Energy-Efficient Buildings Facilitated by Microgrid by Guan, Xiaohong, Xu, Zhanbo, Jia, Qing-Shan

“…Recent research shows that 20%-30% of building energy consumption can be saved through optimized operation and management without changing the building…”
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Energy Management of Networked Microgrids with Real-Time Pricing by Reinforcement Learning by Cui, Gaochen, Jia, Qing-Shan, Guan, Xiaohong

“…Coordinating the microgrids (MGs) in the distribution network is a critical task for the distribution system operator (DSO), which could be achieved by setting…”
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Evaluation of Forchheimer equation coefficients for non-Darcy flow in deformable rough-walled fractures by Chen, Yi-Feng, Zhou, Jia-Qing, Hu, Shao-Hua, Hu, Ran, Zhou, Chuang-Bing

“…•Three typical nonlinear flow behaviors were identified in deformable rock fractures.•Two empirical equations were proposed for Forchheimer’s nonlinear…”
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Influence of surface roughness on nonlinear flow behaviors in 3D self-affine rough fractures: Lattice Boltzmann simulations by Wang, Min, Chen, Yi-Feng, Ma, Guo-Wei, Zhou, Jia-Qing, Zhou, Chuang-Bing

“…•3D Fracture geometry was decomposed into primary and secondary roughness with wavelet analysis.•The role of secondary roughness in the nonlinearity of flow…”
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Artificial neural networks for water quality soft-sensing in wastewater treatment: a review by Wang, Gongming, Jia, Qing-Shan, Zhou, MengChu, Bi, Jing, Qiao, Junfei, Abusorrah, Abdullah

“…This paper aims to present a comprehensive survey on water quality soft-sensing of a wastewater treatment process (WWTP) based on artificial neural networks…”
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