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Research on Financial Risk Management for Electric Power Enterprises 电力企业财务风险管理研究
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2011.11.049
Li Zhe, Liu Ke, Wang Kaibi, Shen Xiaoliu
{"title":"Research on Financial Risk Management for Electric Power Enterprises","authors":"Li Zhe,&nbsp;Liu Ke,&nbsp;Wang Kaibi,&nbsp;Shen Xiaoliu","doi":"10.1016/j.sepro.2011.11.049","DOIUrl":"10.1016/j.sepro.2011.11.049","url":null,"abstract":"<div><p>Primarily this paper emphasizes the importance and standard process of financial risk engineering for electric power enterprises, and then identifies the risks which are most likely to occur in business activities. In addition, this paper established an index system for financial risks. Taking Linfen Power Supply Company as an example, this paper analyses its financial status, and discovers two key issues in its business activities. Finally some proposals are provided to handle these problems.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 54-60"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86510985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Market Equilibrium Based on Renewable Energy Resources and Demand Response in Energy Engineering 基于可再生能源和能源工程需求响应的市场均衡
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2011.11.053
Liu Daoxin, Li Lingyun, Chen Yingjie, Zeng Ming
{"title":"Market Equilibrium Based on Renewable Energy Resources and Demand Response in Energy Engineering","authors":"Liu Daoxin,&nbsp;Li Lingyun,&nbsp;Chen Yingjie,&nbsp;Zeng Ming","doi":"10.1016/j.sepro.2011.11.053","DOIUrl":"10.1016/j.sepro.2011.11.053","url":null,"abstract":"<div><p>Smart grid enables the integration of large-scale renewable energy resources (RERs) into the power system, but the subsequent intermittency and uncertainty can have an adverse impact on the networks’ reliability, safety and operation efficiency. Meanwhile, demand response helps greatly mitigate the negative impact associated with RERs. Hence, from the engineering's perspective, the complexity and intelligence of the power system have been on an unprecedented level. In such a complex and intelligent power system, it is essential to investigate the impact of RERs and demand response on the market equilibrium in order to help market participants to make scientific decisions. In this paper, firstly, an overall model of major market participants together with the constraints of transmission and generation is established. Then, the energy market is analyzed with RERs’ uncertainties and demand response. Finally, a 4-bus network is utilized to validate theoretical results, indicating that as the uncertainties increase, power system's operation costs and equilibrium shift will be enlarged; and the effect of demand response can narrow the equilibrium shift and reduce RERs’ integration costs.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 87-98"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87795666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
The group decision-making rules based on rough sets on large scale engineering emergency 基于粗糙集的大型工程应急群体决策规则[j]
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2011.11.083
XiongWei, Su Qiuyan, Li Jinlong
{"title":"The group decision-making rules based on rough sets on large scale engineering emergency","authors":"XiongWei,&nbsp;Su Qiuyan,&nbsp;Li Jinlong","doi":"10.1016/j.sepro.2011.11.083","DOIUrl":"10.1016/j.sepro.2011.11.083","url":null,"abstract":"<div><p>This paper expounds the basic concepts of rough set theory, studies a method of extracting group decision-making rules based on rough set theory which is applied to the group decision-making process of large scale engineering emergency, through the establishment of a decision index system of distribution site of medical supplies in large scale engineering emergency, we obtain a reduction of decision rules finally. The results show that the applying of group decision-making model based on rough set to the group decision-making of large scale engineering emergency can greatly improve the decision efficiency, and provide basis for future engineering incidents.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 331-337"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89775682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Deriving Dependence Structure of Credit Derivatives: A Differential Evolution Approach 信用衍生品依赖结构的推导:一种差分演化方法
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2012.04.060
Xu Wei, Hu Zuhui
{"title":"Deriving Dependence Structure of Credit Derivatives: A Differential Evolution Approach","authors":"Xu Wei,&nbsp;Hu Zuhui","doi":"10.1016/j.sepro.2012.04.060","DOIUrl":"10.1016/j.sepro.2012.04.060","url":null,"abstract":"<div><p>This paper focuses on the application of an original engineering global optimization algorithm, based on matrixing operators, positive semi-definite transformation and DE algorithm, for the resolution of constrained optimization problem for credit derivative correlation relationships. Results are analyzed confirming their efficiencies from a financial point view.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 388-397"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85164251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling of Engineering R&D Staff Performance Appraisal Model Based on Fuzzy Comprehensive Evaluation 基于模糊综合评价的工程研发人员绩效考核模型建模
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2011.11.071
Xiong Min-peng, Zhou Xiao-hu, Duan xin
{"title":"Modeling of Engineering R&D Staff Performance Appraisal Model Based on Fuzzy Comprehensive Evaluation","authors":"Xiong Min-peng,&nbsp;Zhou Xiao-hu,&nbsp;Duan xin","doi":"10.1016/j.sepro.2011.11.071","DOIUrl":"10.1016/j.sepro.2011.11.071","url":null,"abstract":"<div><p>Engineering R&amp;D personnel's performance is different from the general staff performance, so the assessment for them must be different. How to accurately measure performance of R&amp;D staff has become a major problem. After considering the work characteristics of the engineering R&amp;D staff, this paper designs performance indicators based on morality, ability, diligence, and performance and then uses AHP to determine the weight of every index; then fuzzy evaluation method is used to design performance appraisal model, to overcome the issue of quantifying the engineering R&amp;D performance. Finally, this paper demonstrates performance appraisal model that is feasible and practical through empirical research.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 236-242"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83626095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
E Bayesian Estimation and Hierarchical Bayesian Estimation of the System Reliability Parameter 系统可靠性参数的贝叶斯估计和层次贝叶斯估计
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2011.11.031
Jianhua Wang, Dan Li, Difang Chen
{"title":"E Bayesian Estimation and Hierarchical Bayesian Estimation of the System Reliability Parameter","authors":"Jianhua Wang,&nbsp;Dan Li,&nbsp;Difang Chen","doi":"10.1016/j.sepro.2011.11.031","DOIUrl":"10.1016/j.sepro.2011.11.031","url":null,"abstract":"<div><p>This paper discusses the property of Bayesian estimation and E Bayesian estimation of the system reliability parameter with the zero-failure date. We give the mathematical proof of that the E Bayesian estimation of Pascal distribution's parameter is asymptotic equal to its hierarchical Bayesian estimation and E Bayesian estimation of Pascal distribution's parameter is smaller than its hierarchical Bayesian estimation.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 282-289"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83789950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
A Study on Modeling and Simulation Engineering of Emergency Resources Supply Based on System Dynamics 基于系统动力学的应急物资供给建模与仿真工程研究
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2012.04.048
Heng Shao, Hong Zhao, Feng Hu
{"title":"A Study on Modeling and Simulation Engineering of Emergency Resources Supply Based on System Dynamics","authors":"Heng Shao,&nbsp;Hong Zhao,&nbsp;Feng Hu","doi":"10.1016/j.sepro.2012.04.048","DOIUrl":"10.1016/j.sepro.2012.04.048","url":null,"abstract":"<div><p>Emergency resources supply includes emergency resources reserves and emergency resources mobilization. This study utilizes system dynamics to model emergency resources supply and simulate to give engineering presentation. Simulation results show that emergency resources supply is decided by the need, the aim of employing quantity and mobilizing quantity is to bridge employing error and mobilizing error. The results also show oversupply of emergency resources, namely excessive employing and excessive mobilization, is decided by transportation and demand error which is caused by arrival supply quantity.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 307-312"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83584659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
The BP Artificial Neural Network Model on Expressway Construction Phase Risk 高速公路施工阶段风险的BP人工神经网络模型
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2012.01.004
Chenyun, Yi Zichun
{"title":"The BP Artificial Neural Network Model on Expressway Construction Phase Risk","authors":"Chenyun,&nbsp;Yi Zichun","doi":"10.1016/j.sepro.2012.01.004","DOIUrl":"10.1016/j.sepro.2012.01.004","url":null,"abstract":"<div><p>According to the feature of expressway construction phase risk, an evaluation index system of expressway engineering construction phase risk was proposed. The BP artificial neural network model can be effectively used in engineering risk evaluation was built. The BP artificial neural network evaluation of the basic principles and process of engineering risk evaluation model, including the establishment of neural networks, learning and training, test results and case analysis, was explained.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 409-415"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.01.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78417809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Chaotic Local Weighted Linear Prediction Algorithms Based on the Angle Cosine 基于角余弦的混沌局部加权线性预测算法
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2012.04.052
Xing Mian, Ji Ling, Wang Guanqin
{"title":"Chaotic Local Weighted Linear Prediction Algorithms Based on the Angle Cosine","authors":"Xing Mian,&nbsp;Ji Ling,&nbsp;Wang Guanqin","doi":"10.1016/j.sepro.2012.04.052","DOIUrl":"10.1016/j.sepro.2012.04.052","url":null,"abstract":"<div><p>This paper expounds the limitations of the Euclidean distance as the measure between points similarity. According to the limitations of the original algorithm presented, chaotic local weighted linear forecast algorithm based on the angle cosine is proposed, which replaces Euclidean distance by cosine in the measurement of the similarity between phase points. In the process of parameters identification in the linear fitting, replace the Euclidean distance by the module and angle of vector as the optimal object. This algorithm overcomes the disadvantages of chaotic local prediction algorithm based on the Euclidean distance, and has obtained good effect in power load forecasting which is sensitive to the climate.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 334-339"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90701107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Investor Sentiment and Assets Valuation 投资者情绪与资产估值
Systems Engineering Procedia Pub Date : 2012-01-01 DOI: 10.1016/j.sepro.2011.11.023
Hu Changsheng, Wang Yongfeng
{"title":"Investor Sentiment and Assets Valuation","authors":"Hu Changsheng,&nbsp;Wang Yongfeng","doi":"10.1016/j.sepro.2011.11.023","DOIUrl":"10.1016/j.sepro.2011.11.023","url":null,"abstract":"<div><p>Using the Chinese stock market data as sample, this paper investigates the impact of investor sentiment on the assets valuation. In order to classify stocks objectively, our sample stocks are sorted by double indicators (B/M and PE). In the portfolio, we find stocks with low B/M and high PE are sensitive to investor sentiment, which are considered to be costly to arbitrage. Investor sentiment has incremental power to explain stock return co-movements, which indicates that these stocks would perform higher (lower) excess returns when investors are bullish (bearish).Our findings support a role for investor sentiment in the formation of return and the change of investor sentiment should be taken as an important systemic risk in asset pricing and portfolio management.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 166-171"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75675462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
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