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Your search keyword '"Xu, Chenguan"' showing total 13 results
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13 results on '"Xu, Chenguan"'

1. A Carbon Emission Prediction Model Based on PSO and Stacking Ensemble Learning for the Steel Industry

Author

Wang, Yingqiu, Xu, Chenguan, Zhao, Chenyang, Zhao, Meng, Tian, Runze, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Cai, Chunwei, editor, Qu, Xiaohui, editor, Mai, Ruikun, editor, Zhang, Pengcheng, editor, Chai, Wenping, editor, and Wu, Shuai, editor

Published
2024
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6. Coordinative energy efficiency improvement of buildings based on deep reinforcement learning.

Author

Xu, Chenguan, Li, Wenqing, Rao, Yao, Qi, Bei, Yang, Bin, and Wang, Zhongdong

Subjects
*ENERGY consumption, *REINFORCEMENT learning, *ENERGY storage, *ENERGY management
Abstract

Due to the uncertainty of user's behaviour and other conditions, the design of energy efficiency improvement methods in buildings is challenging. In this paper, a building energy management method based on deep reinforcement learning is proposed, which solves the energy scheduling problem of buildings with renewable sources and energy storage system and minimises electricity costs while maintaining the user's comfort. Different from model-based methods, the proposed DRL agent makes decisions only by observing the measurable information without considering the dynamic of the building environment. Simulations based on real data verify the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Published
2023
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7. Optimization Model of Substation Building Envelope–Renewable Energy Utilization Based on Life-Cycle Minimum Carbon Emissions.

Author

Zhao, Shuizhong, Zhu, Yunxiang, Lou, Ping, Hu, Yuying, Xu, Chenguan, and Chen, Yinhui

Subjects
CARBON emissions, ENERGY consumption, ENERGY consumption of buildings, CARBON offsetting, DIRECT costing, RENEWABLE energy sources, BUILDING envelopes
Abstract

Maximizing the carbon reduction in substations with minimum cost investments can be achieved by taking advantage of the potential of substations in terms of the envelope and renewable energy, which is significant in promoting carbon reduction in substations. Therefore, firstly, the relationship between building cost–energy consumption–carbon emissions is explored, and then the global optimal calculation model of substation envelope–renewable energy is established, with the lowest life-cycle carbon emission of the substation as the optimization goal. Finally, the validity of the model is verified based on a case study of a typical 110 kV outdoor substation. The model calculation results show that, without considering the cost constraint, Harbin has the highest maximum carbon reduction of 180,350 kg, which is 25.15% and 13.74% higher than the maximum carbon reduction in Shanghai and Haikou, respectively. Furthermore, based on the comparison of the cost and benefits of each carbon reduction technology, a prioritization of various carbon reduction technologies is given for each climate zone. The model established in this paper can provide the optimal configuration of substation carbon reduction technologies with different incremental cost constraints, and provide a reference for the low-carbon design of substations. [ABSTRACT FROM AUTHOR]

Published
2023
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13. Research on system software reliability based on service component architecture

Author

Yi Yongxian, Xu Chenguan, Zhu Liangliang, Li WenQinq, and Rao Yao

Subjects
History, Computer science, Service Component Architecture, Reliability (statistics), Computer Science Applications, Education, System software, Reliability engineering
Abstract

Software reliability is an important index to evaluate system quality. Aiming at the web configuration system of service component architecture, this paper proposes a service process-oriented software reliability model, which analyses the service reliability from the whole service life cycle, and finally gives the comprehensive reliability calculation method of software. Using the method proposed in this paper, the service composition can be optimized in the system design phase, and the reliability of the whole software system can be improved.

Published
2021

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