关键词： 物流运输经济   网络经济理论   效率提升   成本把控  

摘要： 为促进物流运输网络实现更好的降本增效效果,将网络经济理论与物流运输经济做出结合应用,并构建网络经济模型。接着选取某物流企业经营数据对模型有效性作验证分析后发现,网络经济模型对于物流网络能够起到重要的均衡优化作用,随着优化程度的提高,物流网络的运输效率及成本把控效果便更加理想。在此基础上就如何更好地实现物流运输的降本增效提出几点建议,以期为同类型工作提供一定的借鉴和参考。

关键词： 金融科技   创新   企业   资本配置效率  

摘要： 论文针对金融科技创新对企业资本配置效率的影响进行理论与实证研究,基于空间计量经济模型,运用2003-2016年面板数据再检验企业资本配置效率以及区域差异。结果表明:金融科技创新与地区企业资本配置效率之间存在显著的正相关性,能显著地促进企业经济增长;金融发展和金融科技创新的融合互动,能够缓解金融发展对企业资本配置效率的抑制作用;人力资本、财政支出和城镇化水平对地区企业经济增长具有显著正向促进作用。

关键词： Cybersecurity survey   Cybersecurity information sharing   Sustainable business ecosystem   Information security service providers   Cybersecurity economics   Cybersecurity for could and edge computing  

摘要： Based on a comprehensive literature survey, the constructs of the cybersecurity information sharing ecosystem have been defined in detail. Using this ecosystem, the interrelationships among the stakeholders with respect to cybersecurity information sharing are analyzed, the value parameters are determined, the value functions are defined, and the values obtained by the stakeholders through simulation are calculated. Furthermore, it is investigated whether the stakeholders involved in this ecosystem can create sufficient value to sustain in the market. The outcome of this research includes an economic model for evaluating the value creation and distribution among the stakeholders. This model is a critical step forward to better align the values (i.e., utilities and profits) of stakeholders. The simulation results of the model show that end users are the main source of value generation. Cybersecurity solution providers and cybersecurity information providers get benefits from a growing installed base of end users. However, in saturated markets, there is a risk of un-sustainability of the ecosystem, as the cost of cybersecurity solutions and cybersecurity information cannot be recovered through their fees. The simulation model and the findings of this study can help business managers to make better decisions related to business strategies, sustainability, and pricing schemes for cybersecurity solution and cybersecurity information. Moreover, a working cybersecurity information sharing ecosystem is essential for the adoption of cloud computing and, especially, edge computing. It allows capturing, disseminating, and aggregating cybersecurity information from a large number of computing devices and computing providers reliably and accurately. (C) 2021 The Authors. Published by Elsevier B.V.

关键词： Circular economy   design of process   financial incentives   recycling of waste   reuse of waste   TOPSIS SIMOS approach   waste management  

摘要： Management of waste is one of the major challenges faced by many developing countries. This study therefore attempts to develop a circular economy (CE) model to manage wastes and closing the loop and reducing the generation of residual wastes in Indian municipalities. Through extant literature review, the researchers found 30 success factors of CE implementation. Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) SIMOS approach, the rating and weight of decision makers (DMs) for each factor were collected. A structured questionnaire has been developed incorporating all these 30 factors, to extract the most important factors. The data was collected from top 10 officials (DMs) from the Chennai municipality, who handle three regions (metropolitan, suburbia and industrial). Based on the TOPSIS SIMOS analysis, nine CE implementing factors (critical success factors (CSFs)) among the 30 variables that were significant based on the cut-off value was identified. A CE model has been proposed based on these nine CSFs for waste management in India.

关键词： Planting and breeding integration   EM-LCA model   Model evaluation   Sustainable development   Sensitivity analysis   Optimization suggestions  

摘要： The sustainable development of agriculture is facing problems such as high resource consumption and serious environmental pollution. The development of the circular economy model integrating planting and breeding (CEMIPB) has become an effective way to realize the sustainable development of agriculture. Due to the great difference of natural resource attributes in different regions of China, CEMIPB shows diverse characteristics on the whole. Based on this, this paper constructs a coupling model based on emergy analysis (EMA) and life cycle assessment (LCA) called EM-LCA model and conducts an empirical analysis using a typical CEMIPB in Fujian Province, China, as a case. By comparing the results of the EM-LCA and EMA models, the former effectively compensates for the deficiencies of the latter in terms of economic and environmental impact assessment, and the evaluation results can better reflect the actual situation of the system. Furthermore, sensitivity analysis is introduced to identify key processes and substances. Based on the reduce-reuse-recycle (3R) principle, several optimization suggestions, such as reducing the input of corn and veterinary drugs, are put forward. The construction of the aforementioned methodology system can provide a new perspective for research in similar fields and provide a scientific basis for local government decision making.

关键词： 非线性系统   预测控制   最优控制   过程控制  

摘要： 当前大多数复杂控制系统的目标是快速、高效、可靠地将系统控制至目标设定点。模型预测控制由于可以处理大型的受系统状态和输入严格约束的多变量系统而成为当前比较流行的控制算法。在工业生产过程中,信息和目的的分层方法不再是最佳或最理想的处理方式。最近提出的替代分层的方法是直接将经济目标作为控制系统的目标函数。在这种称为经济模型预测控制的方法中,控制器直接实时地优化过程的经济性能,而不是跟踪到设定值。其中设定值为由其他信息管理系统提供的最佳稳态设定点,该最佳稳态设定点通常是系统所有稳态中代价最小最有利可图的状态量。目的是解释如何设计这类控制系统以及用其可以实现什么样的闭环特性。涵盖以下问题:渐近平均性能、闭环的稳定性和收敛性、强耗散性。

关键词： 虚拟电厂   经济模型预测控制   非合作博弈   自适应步长   优化调度  

摘要： 在考虑新能源出力具有不确定性的条件下,如何实现多虚拟电厂经济优化运行是当前研究的热点。本文提出了基于经济模型预测控制的多虚拟电厂日前日内两阶段协调优化调度方法。首先,建立了包括风电机组和燃气轮机的分布式电源模型及储能电池模型,设计了参与需求响应的可中断负荷模型;接着,以最大化多虚拟电厂收益为目标,基于改进经济模型预测控制,日前调度通过引入纳什最优决策来实现多虚拟电厂最优经济调度,其中,预测域长度根据风电预测误差自适应选取,以降低风电预测不确定性对调度模型的影响;进一步,计及经济性,设计了弥补日前功率偏差的日内实时反馈调度策略。算例分析表明,相较单虚拟电厂仅与大电网交易,多虚拟电厂联合运行总利润提高26.75%;相较定步长,自适应域步长下交易电量误差降低了78.28%,所提出的调度方案有效应对了不确定性风电出力,提高调度精度的同时实现了多虚拟电厂整体最优经济运行,由此验证了模型的正确性和可行性。

关键词： 马克思主义  

ISBN: (纸本)9787520191159

摘要： 本书首先回顾了马克思主义政治经济学的基本逻辑和理论框架，并综述和评析了基于马克思理论的经济增长和波动模型；然后，基于资本积累的框架和马克思的理论，分别构建了马克思经济增长模型和内生经济波动模型，以及经济增长-波动（危机）模型；最后，基于马克思的理论，结合后凯恩斯经济学，将现有宏观经济指标纳入一个“封闭模型”，不仅对消费、投资、就业、产出决定等西方流行宏观经济理论关心的问题给出了马克思主义经济学的回答，而且得到了不一样的规律和更丰富的动态特征。

关键词： Economic model predictive control   Black-box model   State-space model   Residential space heating   Price-based demand response  

摘要： Previous studies have identified significant demand response (DR) potentials in using economic model predictive control (E-MPC) of space heating to exploit the inherent thermal mass in residential buildings for short-term energy storage. However, the economically viable realisation of E-MPC in residential buildings requires an effort to minimise the need for additional equipment and labour-intensive modelling processes. This paper reports on an experiment where a novel E-MPC setup was used for thermostatically control of a hydronic radiator in a highly-insulated residential building located on the NTNU Campus in Trondheim, Norway. The E-MPC utilized data from a heating meter, two temperature sensors and an existing weather forecast web service to train a linear black-box model. The results showed that the precision of model trained on excitation data that was generated using setpoints of either 21 or 24 degrees C was sufficient to obtain good control of the indoor air temperature while shifting consumption from high to low price periods. The findings of the experiment indicate that a minimal E-MPC setup is able to realize the significant DR potential that lies in utilizing the inherent thermal mass in residential buildings.

关键词： Plug-in electric vehicles   load frequency control   distributed economic model predictive control   false data injection attacks   chi(2) intrusion detection   event-triggering mechanism  

摘要： With the participation of a significant number of plug-in electric vehicles (PEVs), it is really challenging to achieve economic-effective in load frequency control (LFC) while sustaining satisfiable system performance. To tackle this challenge, a new distributed economic model predictive control (DEMPC) strategy is proposed for the LFC with the large-scale PEV participation. In the light of the vulnerability of LFC to false data injection (FDI) attacks, a model-based chi(2) intrusion detection unit is integrated with the proposed DEMPC. This model-based intrusion detection unit can not only monitor the FDI attacks, but also generate a model-based state prediction for the DEMPC once the data is identified as compromised. Then, an event-triggering mechanism is presented to reduce the computation and communication burdens of each area controller. Simulation studies of a four-area power system are conducted and the results validate the effectiveness of the proposed intrusion detection unit and event-triggering conditions for the DEMPC.