检索结果-内蒙古大学图书馆

5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Zhou, Kaile Zhang, Zenghui Lu, Xinhui Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei230009 China

ISBN: (纸本)9781665434256

An industrial park containing distributed generations (DCs) can be seen as a microgrid. Due to the uncertainty and intermittency of the output of DGs, it is necessary to add battery energy storage system (BESS) in industrial parks. The battery state of health (SOH) is an important indicator of battery life. It is necessary to fully consider the battery SOH during the energy optimization of industrial parks. In this work, a two-stage model suitable for charge and discharge optimization of BESSs in industrial park microgrids is proposed. The first stage of the model is a charge and discharge scheduling of a BESS considering the SOH. This stage mainly schedules the charge and discharge time and the total amount of time. The second stage of the model is employed to further determine the charge and discharge allocation of all battery packs to achieve BESS life prolongation. The experimental results show that the introduction of SOH makes the scheduling results more realistic. Also, it balances the changes in the SOHs of all battery packs. © 2021 IEEE

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

Multi-CODP decision models for supplier selection and order allocation in customized logistics service supply chain

引用

Neural Computing and Applications 2024年第19期36卷 11097-11119页

作者： Hu, Xiaojian Xu, Liangcheng Yao, Gang Wu, Zhening School of Management Hefei University of Technology Tunxi Anhui Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Tunxi Anhui Hefei230009 China

To address the problem of positioning customer order decoupling point (CODP) in customized logistics service supply chain and to provide logistics service integrators (LSI) with various CODP decision-making and supplier selection solutions. We consider LSI, logistics service providers (LSPs) and customers and propose multiobjective nonlinear team optimization models for multi-CODP location, including minimizing the cost to the LSI and maximizing the synthetic satisfaction of LSPs and customers. This paper adopts an improved nondominated sorting genetic algorithm (NSGA-II), in which the key modules such as the crossover operations, chromosome structure and mutation operations are reconstructed, to solve the team models and investigate the Pareto-optimal front for the two objectives. To demonstrate the validity of NSGA-II and the reliability of mathematical models, cases from a specific dataset are generated and solved. Moreover, a classic genetic algorithm (GA) is applied to solve for the two objectives separately. The optimal solutions found by GA are f1 = 2027.491, f2 = 0.7704 and f1 = 2454.512, f2 = 0.8909. The corresponding optimal solutions in the Pareto-optimal solution set are f1 = 2053.675, f2 = 0.7715 and f1 = 2427.114, f2 = 0.8843. We find that the optimal solutions provided by GA cannot dominate any solution in the Pareto-optimal solution set, indicating that the results are valid and sufficiently convergent. In summary, the results of this paper provide LSI with easy access to various supplier selection schemes with multi-CODP, which is essential to reduce the cognitive burden on decision makers and address the diverse customization needs of many challenging real-world logistics issues. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Research of enterprise knowledge portal system for product R&D

Research of enterprise knowledge portal system for product R...

引用

2nd International Conference on Information Engineering and Applications, IEA 2012

作者： Yu, Ben-Gong Zhao, Shu Ping School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Hefei 230009 China

ISBN: (纸本)9781447148463

Knowledge Management has become one of the core competitions in the enterprise. In order to minimize product development cycle and promote market competitiveness, we need to optimize the level of knowledge management in complex product development processes based on the analysis of the characteristics of enterprise knowledge management for product R&D process, and make use of knowledge management theory and information technology. This paper put forward the knowledge management process of the product R&D enterprise and the architecture model of enterprise knowledge portal (EKP) system, which can provide the theoretical basis and the reference model for the implementation of Enterprise Knowledge Management for product R&D. Finally, the EKP system for product R&D based on the platform of sharepoint is constructed. © 2013 Springer-Verlag.

关键词： Knowledge management

来源：评论

学校读者我要写书评

暂无评论

The utility frequent pattern mining based on slide window in data stream

The utility frequent pattern mining based on slide window in...

引用

2012 5th International Conference on intelligent Computation Technology and Automation, ICICTA 2012

作者： Li, Feng-Gang Sun, Ying-Jia Ni, Zhi-Wei Liang, Yu Mao, Xue-Ming Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9780769546377

In traditional study of mining data stream, each item in the data stream is of equal importance. However, in practice, each item has a different significance, which is known as utility. This paper combines frequent mining item sets with utility and proposes an efficient algorithm for utility frequent pattern mining (UFPM). It combines bitmap with tree structure that can store and update the pattern of data stream quickly and completely by scanning only once. The algorithm generated by lexicographic order, proposes a novel tree U-tree and makes convenience for pattern updating and user reading. With a pattern growth approach in mining, the algorithm can effectively avoid the problem of a mass candidacy generation by level-wise searching. The experiments results show that our algorithm which is in high efficiency and good scalability outperforms the existing analogous algorithm. © 2012 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Two-stage charge and discharge optimization of battery energy storage systems in microgrids considering battery state of health 8

Two-stage charge and discharge optimization of battery energ...

引用

8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Zhang, Zenghui Zhou, Kaile Yang, Shanlin Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-Making School of Management Hefei230009 China

ISBN: (纸本)9798350328813

An important figure-of-merit for battery energy storage systems (BESSs) is their battery life, which is measured by the state of health (SOH). In this study, we propose a two-stage model to optimize the charging and discharging process of BESS in an industrial park microgrid (IPM). The first stage is used to optimize the charging and discharging time and the corresponding amount of the charging and discharging energy from the BESS, in which the SOH is considered. Subsequently, all battery packs need to be coordinated to ensure a reasonable BESS operation. In order to prolong the service life of the BESS, the second stage of the model allocates the charging and discharging of all battery packs on the basis of the first stage scheduling results. The proposed loss-calculation method is used to calculate the battery pack loss and then to calculate the SOHs of battery packs. It can be seen from the simulation results that the scheduling results considering the SOH are more realistic. Furthermore, the proposed charging and discharging allocation strategy can effectively coordinate the SOH change of all battery packs without causing a significant increase in the battery pack loss of the battery packs. © 2023 IEEE.

关键词： Battery energy storage system Charging and discharging optimization Industrial park microgrid State of health

来源：评论

学校读者我要写书评

暂无评论

Electricity consumption prediction based on non-stationary time series GM (1, 1) model and its application in power engineering

Electricity consumption prediction based on non-stationary t...

引用

2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013

作者： Wang, Xiaojia China Key Lab of Process Optimization and Intelligent Decision-making Hefei University of Technology Hefei China

ISBN: (纸本)9783319012728

The construction of smart grid will comprehensively enhance the intelligent level of every step in the power grid of our country. The data prediction ability determines the quality of smart grid. This paper addresses situations in which the prediction accuracy of the Grey Model (GM (1, 1) model) is high for non-negative smooth monotonic sequences but inadequately low for non-stationary sequences, and isolates the trending sequence from the non-stationary time series using a numerical filtering algorithm, which is then used to make predictions. Numerical examples demonstrate that this method can improve the prediction accuracy of the GM (1, 1) model. © Springer International Publishing Switzerland 2014.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

An intuitionistic fuzzy similarity measurement method considering orientation 8

An intuitionistic fuzzy similarity measurement method consid...

引用

8th International Symposium on Project Management, ISPM 2020

作者： Pei, Feng He, Yuwei Yan, An Liu, Lin School of Management Hefei University of Technology China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education China

ISBN: (纸本)9781921712722

Similarity of intuitionistic fuzzy sets (IFSs) is an important tool for determining the similarity degree between two objects, which is often used in the fields of pattern recognition, medical diagnosis and so on. Although many intuitionistic fuzzy similarity measurement (IFSM) methods have been proposed, those methods ignore the effect of the hesitancy part's orientation on similarity degree, which causes partial information loss and reduces the reasoning accuracy. In this paper, an improved IFSM method considering the orientation of hesitancy part on membership part, non-membership part and hesitancy part, is established by introducing the protection degrees of membership, non-membership and hesitancy. Finally, this method is applied to pattern recognition problems to demonstrate the effectiveness and applicability of the proposed method. © 8th International Symposium on Project Management, ISPM 2020. All rights reserved.

关键词： Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A fast bidirectional method for mining maximal frequent itemsets

A fast bidirectional method for mining maximal frequent item...

引用

3rd International Joint Conference on Computational Sciences and optimization, CSO 2010: Theoretical Development and Engineering Practice

作者： Wang, Chao Ni, Zhi-Wei Guo, Jun-Fen Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Heifei Hefei Anhui China

ISBN: (纸本)9780769540306

In this paper, a fast bidirectional method and an efficient data compression method for mining maximal frequent itemsets is proposed. A flexible search method is given, which exploits the advantages of bottom-up and up-bottom strategies. The compression technique use the Prime number characteristics to transform transaction data into a positive integer and can efficiently reduce the size of transaction database. This method can mine maximal frequent itemsets according to different user-defined mininum support with only one scan of original database. Theoretical and experimental analysis shows that the proposed method is scalable and efficient for mining maximal frequent itemsets. © 2010 IEEE.

关键词： Data compression

来源：评论

学校读者我要写书评

暂无评论

The Pricing Strategy of Software: Vulnerability and Patch 20

The Pricing Strategy of Software: Vulnerability and Patch

引用

4th International Conference on Computer Science and Application Engineering, CSAE 2020

作者： Yang, Wujuan Qian, Xiaofei School of Management and Key Laboratory of Process Optimization and Intelligent Decision-making of the Ministry of Education Hefei University of Technology Hefei China

ISBN: (纸本)9781450377720

The ubiquity of vulnerability in software products poses a serious threat to network security and user system. Patching for the software is a common tool to ease the security issue. Whereas, not all users will choose to patch due to the consideration on compatibility and inconvenience. Thus, it is significant to induce users to patch for the software. Based on the background of this practical problem, this paper proposes two models (a benchmark model and a price discount model) to analyze the user's buying and patching behavior, the pricing strategy of the software vendor, and the vendor's benefits. By comparing the results of the benchmark model and the price discount model, we find that the price discount policy will result in a higher group security level and more benefits for the vendor. © 2020 ACM.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

Extreme Risk Measurement of Carbon Market Considering Multifractal Characteristics

引用

Journal of Systems Science & Complexity 2023年第6期36卷 2497-2514页

作者： ZHU Dandan ZHANG Chen PAN Di School of Management Hefei University of TechnologyHefei230009China School of Economics and Management Shanghai University of Political Science and LawShanghai201701China Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of TechnologyHefei230009China

Influenced by the global economy,politics,energy and other factors,the price of carbon market fluctuates *** is of great practical significance to explore a suitable measurement method of extreme risk of carbon *** that the return series of carbon market has the characteristics of leptokurtosis,fat tail,skewness and multifractal,and there maybe many extreme risk values in the carbon market,this paper introduces the Skewed-t distribution which can describe the characteristics of leptokurtosis,fat tail and skewness of return series into MSM model which can describe multifractal characteristic of return series to model volatility of carbon *** the basis,based on the extreme value theory,this paper constructs Skewed-t-MSM-EVT model to measure extreme risk of carbon *** paper chooses EUA market as the object to study extreme risk of carbon market,and draws the following conclusions:Skewed-t-MSM-EVT model has significantly higher prediction accuracy for carbon market's Va R than MSM-EVT models under other distributions(including normal distribution,t distribution,GED distribution);Skewed-t-MSM-EVT model is superior to traditional Skewed-t-FIGARCH-EVT and Skewed-t-GARCH-EVT models in predicting carbon market's Va *** research has important practical significance for accurately grasping the risk of carbon market and promoting energy conservation and emission reduction.

关键词： Carbon market extreme value theory multifractal Skewed-t distribution VaR

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：