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Journal articles on the topic 'Resource allocation and economic dispatch'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Li, Chaojie, Xinghuo Yu, Tingwen Huang, and Xing He. "Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch." IEEE Transactions on Neural Networks and Learning Systems 29, no. 6 (June 2018): 2407–18. http://dx.doi.org/10.1109/tnnls.2017.2691760.

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Wang, Dong, Mingfei Chen, and Wei Wang. "Distributed Extremum Seeking for Optimal Resource Allocation and Its Application to Economic Dispatch in Smart Grids." IEEE Transactions on Neural Networks and Learning Systems 30, no. 10 (October 2019): 3161–71. http://dx.doi.org/10.1109/tnnls.2018.2890115.

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3

Yi, Peng, Yiguang Hong, and Feng Liu. "Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems." Automatica 74 (December 2016): 259–69. http://dx.doi.org/10.1016/j.automatica.2016.08.007.

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4

Huang, Guodong, Dan Xu, Zhiqiang Luo, Qiang Ding, Min Li, and Hongtu Zhang. "Research on the Construction of Security Constrained Economic Dispatch Scenarios for Large-scale Power Grid." E3S Web of Conferences 57 (2018): 03002. http://dx.doi.org/10.1051/e3sconf/20185703002.

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Large-scale power grid security constrained economic dispatch is an effective technical means to solve the optimal allocation of resources in a large area. Based on the characteristics of dispatching plan in the State Grid Corporation, a processing strategy for optimizing objectives, planning adjustments, and basic data integration is proposed. A method of constructing a large-scale power grid security constrained economic dispatching scenario based on strategies combination is established, and the adaptability of different scenarios and the difficulty in constructing the corresponding model are analyzed. Multi-scenario construction aims at solving different problems in different scenarios and is a useful method for improving the availability and practicality of large-scale power grid security constrained economic dispatching technologies.

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Sang, Zixia, Jiaqi Huang, Dongjun Yang, Jiong Yan, Zhi Du, and Rengcun Fang. "An Initialization-free Distributed Algorithm for Power Dispatch Problem with Multiple Resources of Future Distribution Network." International Journal on Artificial Intelligence Tools 29, no. 07n08 (November 30, 2020): 2040006. http://dx.doi.org/10.1142/s0218213020400060.

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With the gradual development of bidirectional interacted future distribution network, it is necessary to enter distributed clean power sources with various characteristics, including wind turbine and solar panel. Traditional centralized control has difficulties to fulfill the demands of future distribution networks for safe, stable, and efficient operation. Aiming at the constrained power allocation problem widely studied in smart grid, with the cooperative control algorithm of continuous multi-agent system, this paper proposed a distributed optimization allocation strategy, which is free by the initial state. The proposed distributed algorithm implements parameterization by adding auxiliary variables. In the iterative process, the algorithm only needs to know the state of the distributed power supply of the neighbor, and finally solve the global optimal solution of the system. The simulations prove that the proposed scheme can effectively improve the economic dispatch performance. Furthermore, comparing to the existing algorithm, the proposed algorithm achieves faster optimal solution.

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Short, Michael, Sergio Rodriguez, Richard Charlesworth, Tracey Crosbie, and Nashwan Dawood. "Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach." Energies 12, no. 22 (November 13, 2019): 4320. http://dx.doi.org/10.3390/en12224320.

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Demand response (DR) involves economic incentives aimed at balancing energy demand during critical demand periods. In doing so DR offers the potential to assist with grid balancing, integrate renewable energy generation and improve energy network security. Buildings account for roughly 40% of global energy consumption. Therefore, the potential for DR using building stock offers a largely untapped resource. Heating, ventilation and air conditioning (HVAC) systems provide one of the largest possible sources for DR in buildings. However, coordinating the real-time aggregated response of multiple HVAC units across large numbers of buildings and stakeholders poses a challenging problem. Leveraging upon the concepts of Industry 4.0, this paper presents a large-scale decentralized discrete optimization framework to address this problem. Specifically, the paper first focuses upon the real-time dispatch problem for individual HVAC units in the presence of a tertiary DR program. The dispatch problem is formulated as a non-linear constrained predictive control problem, and an efficient dynamic programming (DP) algorithm with fixed memory and computation time overheads is developed for its efficient solution in real-time on individual HVAC units. Subsequently, in order to coordinate dispatch among multiple HVAC units in parallel by a DR aggregator, a flexible and efficient allocation/reallocation DP algorithm is developed to extract the cost-optimal solution and generate dispatch instructions for individual units. Accurate baselining at individual unit and aggregated levels for post-settlement is considered as an integrated component of the presented algorithms. A number of calibrated simulation studies and practical experimental tests are described to verify and illustrate the performance of the proposed schemes. The results illustrate that the distributed optimization algorithm enables a scalable, flexible solution helping to deliver the provision of aggregated tertiary DR for HVAC systems for both aggregators and individual customers. The paper concludes with a discussion of future work.

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Banerjee, Swaraj, and Dipu Sarkar. "Emission Constrained Optimal Allocation of Generation using AWDO Technique." International Journal of Smart Grid and Sustainable Energy Technologies 2, no. 1 (December 18, 2019): 88–96. http://dx.doi.org/10.36040/ijsgset.v2i1.221.

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The current work introduces a meta-heuristic solution of an emission constrained optimal generation scheduling problem on the Distributed Energy Resources (DERs). The Combined Economic Emission Dispatch (CEED) problem reflects the environmental effects from the gaseous pollutants from fossil-fueled power generating plants. The CEED is a method for scheduling the generation considering both emission and generation cost meeting the needs of satisfying all operational constraints and load demand as well. The CEED problem has been formulated as a multi-objective problem and that later has been converted into a single objective function using price penalty factor. A comparatively new meta-heuristic nature-inspired global optimization method, Adaptive Wind Driven Optimization (AWDO), has been proposed to solve the CEED problem solution. The key objective is to solve the CEED problem with the proposed algorithm and analyze its effectiveness of with the help of the simulation results which later have been compared with other existing algorithms for two test systems (10 thermal units and 40 thermal units) and AWDO has proved to be the best and most powerful amongst them.

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8

Bi, Jun, Zhen Wu, Lei Wang, Dongfan Xie, and Xiaomei Zhao. "A Tabu Search-Based Algorithm for Airport Gate Assignment: A Case Study in Kunming, China." Journal of Advanced Transportation 2020 (November 26, 2020): 1–13. http://dx.doi.org/10.1155/2020/8835201.

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An airport gate is the core resource of an airport operation, which is an important place for passengers to get on and off the aircraft and for maintaining aircraft. It is the prerequisite for other related dispatch. Effective and reasonable allocation of gates can reduce airport operating costs and increase passenger satisfaction. Therefore, an airport gate assignment problem (AGAP) needs to be urgently solved in the actual operation of the airport. In this paper, considering the actual operation of the airport, we formulate an integer programming model for AGAP by considering multiple constraints. The model aims to maximize the number of passengers on flights parked at the gate. A tabu search-based algorithm is designed to solve the problem. In the process of algorithm design, an effective initial solution is obtained. A unique neighborhood structure and search strategy for tabu search are designed. The algorithm can adapt to the dynamic scheduling of airports. Finally, tests are performed using actual airport data selected from Kunming Changshui International Airport in China. The experimental results indicate that the proposed method can enhance the local search ability and global search ability and get satisfactory results in a limited time. These results provide an effective support for the actual gate assignment in airport operations.

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9

Qing, Ganghua, Yifan Luo, Weiwei Huang, Wanjue Wang, Zijing Yue, Jie Wang, Qingyi Li, Shuhan Jiang, and Shien Sun. "Driving Factors of Energy Consumption in the Developed Regions of Developing Countries: A Case of Zhejiang Province, China." Atmosphere 12, no. 9 (September 15, 2021): 1196. http://dx.doi.org/10.3390/atmos12091196.

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Regional energy development and approaches are significant for China’s overall economic and social development. The GDP in Zhejiang province surpassed 6 trillion yuan in 2019, and its energy consumption reached 200 million tons of standard coal (tce), both of which are at the forefront of China. In order to explore the main factors of the increase in energy consumption in Zhejiang and provide essential references for energy saving and other provinces, this paper analyzes the total energy consumption and industrial sectors on the basis of the logarithmic mean divisia index (LMDI) model. Study results show that the economy’s scale is the most crucial factor affecting Zhejiang’s energy consumption, with a significant growth effect. In 2015, the scale effect increased energy consumption to the highest value of 14 million tce and then reduced it to 13 million tce in 2019. The impact of the population on energy consumption increased by 10 million tce from 2010 to 2019. Energy intensity reduces energy consumption by between 0.05 and 0.15 billion tce per year, which is the main factor in reducing energy consumption. The energy structure generally plays a weak positive role due to the different energy types. The decomposition of the energy consumption per unit of value added in the industrial sector showed that the intensity and structural effect primarily reduce energy consumption, for example, the metal smelting and rolling, textile printing and paper, electric power, heating, and other industries. According to the results, enterprises should enhance the intelligence and efficiency of dispatch management and emergency responses. Zhejiang should also accelerate an international oil and gas trading center and resource allocation base to reach its carbon-neutrality goal.

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10

Du, Lin. "Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm Development." JMIR Medical Informatics 8, no. 6 (June 25, 2020): e19202. http://dx.doi.org/10.2196/19202.

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Background Before major emergencies occur, the government needs to prepare various emergency supplies in advance. To do this, it should consider the coordinated storage of different types of materials while ensuring that emergency materials are not missed or superfluous. Objective This paper aims to improve the dispatch and transportation efficiency of emergency materials under a model in which the government makes full use of Internet of Things technology and artificial intelligence technology. Methods The paper established a model for emergency material preparation and dispatch based on queueing theory and further established a workflow system for emergency material preparation, dispatch, and transportation based on a Petri net, resulting in a highly efficient emergency material preparation and dispatch simulation system framework. Results A decision support platform was designed to integrate all the algorithms and principles proposed. Conclusions The resulting framework can effectively coordinate the workflow of emergency material preparation and dispatch, helping to shorten the total time of emergency material preparation, dispatch, and transportation.

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11

Chen, Shiyi, Wei Chen, Ahsanullah Soomro, Lijuan Luo, and Wenguo Xiang. "Multi-objective economic emission dispatch of thermal power plants based on grey relational analysis and analytic hierarchy process." Energy & Environment 31, no. 5 (October 20, 2019): 785–812. http://dx.doi.org/10.1177/0958305x19882387.

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In this paper, mathematical models for a synthesized evaluation were established according to grey relational analysis and analytic hierarchy process. The models were used to select a power dispatch scheme considering hierarchies of material consumption, electrical efficiency, exergy efficiency, and environmental benefit. Four unit dispatch schemes, i.e., proportional fair allocation dispatch, conventional economic dispatch, economic emission dispatch, and economic emission dispatch with varied weights were investigated and compared. Analytic hierarchy process decision-making approach has been employed to find the optimal Pareto solution as the best tradeoff between cost and pollutant emission. The model indicated that the economic emission dispatch was preferred as the best option and could further reduce fuel consumption and pollutant emission, followed by the economic emission dispatch with varied weights. The assessment performed serves decision makers a valuable reference for policy making in the power dispatch sector.

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12

Xiao, Hao, Yan Du, Wei Pei, and Li Kong. "Coordinated economic dispatch and cost allocation of cooperative multi-microgrids." Journal of Engineering 2017, no. 13 (January 1, 2017): 2363–67. http://dx.doi.org/10.1049/joe.2017.0753.

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13

Malsagov, Myxarbek Xasanovitch, Gennady Anatolievich Ougolnitsky, and Anatoly B. Usov. "Struggle against economic corruption in resource allocation." Computer Research and Modeling 11, no. 1 (February 2019): 173–85. http://dx.doi.org/10.20537/2076-7633-2019-11-1-173-185.

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14

Bernheim, B. Douglas, and Michael D. Whinston. "Menu Auctions, Resource Allocation, and Economic Influence." Quarterly Journal of Economics 101, no. 1 (February 1986): 1. http://dx.doi.org/10.2307/1884639.

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15

Whiteford, Harvey. "Economic Thinking about Mental Health Resource Allocation." Australasian Psychiatry 3, no. 1 (February 1995): 17–18. http://dx.doi.org/10.3109/10398569509081749.

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16

Lin, S. "Resource allocation and economic growth in China." Economic Inquiry 38, no. 3 (July 2000): 515–26. http://dx.doi.org/10.1111/j.1465-7295.2000.tb00033.x.

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17

Santosa, Budi, Ahmad Rusdiansyah, and N. A. Wahyuda. "Power plant allocation using transportation model and economic dispatch considering emissions." World Review of Intermodal Transportation Research 8, no. 3 (2019): 222. http://dx.doi.org/10.1504/writr.2019.10024122.

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18

Wahyuda, N. A., Budi Santosa, and Ahmad Rusdiansyah. "Power plant allocation using transportation model and economic dispatch considering emissions." World Review of Intermodal Transportation Research 8, no. 3 (2019): 222. http://dx.doi.org/10.1504/writr.2019.102358.

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19

Carlström, E., P. Rotter, B. Asplén, J. Thörnqvist, P. Örninge, M. Kihlgren, and A. Khorram-Manesh. "The Second Opinion Dispatch- Evaluating Decisions Made by an Ambulance Dispatch Center." Global Journal of Health Science 9, no. 12 (October 23, 2017): 107. http://dx.doi.org/10.5539/gjhs.v9n12p107.

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BACKGROUND: The efficacy and precision of dispatching right ambulance to right patient demands a proper decision-making. Wrong decisions may lead to overloading of emergency departments and shortage of ambulances. The aim of this study was to evaluate and improve the process of prehospital resource allocation conducted by a Swedish ambulance dispatch center.METHODS: A team of three experienced ambulance and dispatch nurses evaluated the decisions made by the dispatch center. The method chosen was “Action Research” divided into five actions during 76 days. In the first action, the team listened passively to the calls. The team gradually increased its involvement in the process of decision-making during the actions.RESULTS: During the actions, specific keywords indicating a need for evaluation were identified. The results showed a need to change the primary decisions in 486 cases out of 24,800 calls (2%). The most common measure after an evaluation was to change an ordinary ambulance transportation to an assessment vehicle staffed by a nurse or a physician who would select an appropriate care level (hospital vs. primary healthcare).CONCLUSION: This model not only optimized the prehospital resources but also changed the process of decision-making at the dispatch center and improved their staffs’ ability to optimize the allocation of emergency resources.

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20

Esteban, Joan, and Debraj Ray. "Inequality, Lobbying, and Resource Allocation." American Economic Review 96, no. 1 (February 1, 2006): 257–79. http://dx.doi.org/10.1257/000282806776157533.

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This paper describes how wealth inequality may distort public resource allocation. A government seeks to allocate limited resources to productive sectors, but sectoral productivity is privately known by agents with vested interests in those sectors. They lobby the government for preferential treatment. The government—even if it honestly seeks to maximize economic efficiency—may be confounded by the possibility that both high wealth and true economic desirability create loud lobbies. Broadly speaking, both poorer economies and unequal economies display greater public misallocation. The paper warns against the conventional wisdom that this is so because such governments are more “corrupt.”

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21

Kogan, Leonid, Dimitris Papanikolaou, Amit Seru, and Noah Stoffman. "Technological Innovation, Resource Allocation, and Growth*." Quarterly Journal of Economics 132, no. 2 (March 21, 2017): 665–712. http://dx.doi.org/10.1093/qje/qjw040.

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Abstract We propose a new measure of the economic importance of each innovation. Our measure uses newly collected data on patents issued to U.S. firms in the 1926 to 2010 period, combined with the stock market response to news about patents. Our patent-level estimates of private economic value are positively related to the scientific value of these patents, as measured by the number of citations the patent receives in the future. Our new measure is associated with substantial growth, reallocation, and creative destruction, consistent with the predictions of Schumpeterian growth models. Aggregating our measure suggests that technological innovation accounts for significant medium-run fluctuations in aggregate economic growth and TFP. Our measure contains additional information relative to citation-weighted patent counts; the relation between our measure and firm growth is considerably stronger. Importantly, the degree of creative destruction that is associated with our measure is higher than previous estimates, confirming that it is a useful proxy for the private valuation of patents.

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22

Volovik, P. V., and G. A. Ugolnitsky. "DYNAMIC MODEL OF RESOURCE ALLOCATION IN ECONOMIC CORRUPTION." Ecology. Economy. Informatics. System analysis and mathematical modeling of ecological and economic systems 1, no. 3 (2018): 281–85. http://dx.doi.org/10.23885/2500-395x-2018-1-3-281-285.

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23

KATAOKA, Mitsuhiko. "Economic Growth and Interregional Resource Allocation in Indonesia." Studies in Regional Science 42, no. 4 (2012): 911–20. http://dx.doi.org/10.2457/srs.42.911.

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24

Matchar, David B., and Daniel B. Mark. "Strategies for Incorporating Resource Allocation and Economic Considerations." Chest 133, no. 6 (June 2008): 132S—140S. http://dx.doi.org/10.1378/chest.08-0671.

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25

Khasawneh, Ahmad Al, and Mohammad Bsoul. "Resource allocation strategies for the economic computational grid." International Journal of Networking and Virtual Organisations 6, no. 5 (2009): 532. http://dx.doi.org/10.1504/ijnvo.2009.027395.

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Yang, Ming, Li Zhang, Xue-shan Han, and Feng-lu Cheng. "Two-stage stochastic approach for spinning reserve allocation in dynamic economic dispatch." Journal of Central South University 21, no. 2 (February 2014): 577–86. http://dx.doi.org/10.1007/s11771-014-1976-6.

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27

Xie, Jun, and Min Hua Wu. "Resource Allocation for Parallel Task in Grids." Advanced Materials Research 181-182 (January 2011): 866–72. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.866.

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Task running in Grids may require multiple types of resources simultaneously. Proposing and designing a resource discovery scheme based on Economic Agent. Base on the economic model and the technique in agent of grouping nodes sharing similar files to improve efficiency, this thesis suggests a resource discovery scheme based on economic agent, which is called EAGRD. Theoretical models on resource discovery are provided, under which EAGRD is compared with existing schemes theoretically. By controlling propagation of message into related communities, EAGRD improves time and network efficiency at the cost of topological maintenance overhead.

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Dijk, G. van, and A. P. Verkaik. "Resource allocation for animal health research." Netherlands Journal of Agricultural Science 37, no. 4 (December 1, 1989): 301–9. http://dx.doi.org/10.18174/njas.v37i4.16615.

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Animal health management has changed from first-aid approaches towards planned prevention. To optimize health input at the farm level, various economic models can be used. At the sector level, however, both indirect effects and uncertain time dimensions tend to blur results of such modelling. In addition, health management is in its effects increasingly complementary to other sources of technological progress in animal production. Health management is particularly dependent on health research. Therefore, the question of how to allocate research funds is crucial. Solving this problem is only to a limited extent possible via economic modelling techniques. The reason for this is that animal production has developed into a system in which health and production measures are intertwined. These changes are largely scientifically-based and the research system has also become more integrated. As a result, health research cannot be looked at as an independent factor in health control. Hence, it is hard to allocate the costs and benefits to research and research funding. (Abstract retrieved from CAB Abstracts by CABI’s permission)

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Sharma, Manisha, and Manjaree Pandit. "Reserve Constrained Multi-Area Economic Dispatch Employing Evolutionary Approach." International Journal of Applied Evolutionary Computation 1, no. 3 (July 2010): 49–69. http://dx.doi.org/10.4018/jaec.2010070103.

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The objective of Multi-area economic dispatch (MAED) is to determine the generation levels and the interchange power between areas that minimize fuel costs, while satisfying power balance and generating limit and transmission constraints. If an area with excess power is not adjacent to a power deficient area, or the tie-line between the two areas is at transmission limit, it is necessary to find an alternative path between these two areas to transmit additional power. When a MAED problem is solved with spinning reserve constraints, the problem becomes further complicated. The power allocation to each unit is done in such a manner that after supplying the total load, some specified reserve is left behind. In this paper, the authors compare classic PSO and DE strategies and their variants for reserve constrained MAED. The superior constraint handling capability of these techniques enables them to produce high quality solutions. The performance is tested on a 2-area system having 4 generating units and a 4-area, 16-unit system.

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30

Baghbanian, Abdolvahab, Ian Hughes, and Freidoon A. Khavarpour. "Resource allocation and economic evaluation in Australia's healthcare system." Australian Health Review 35, no. 3 (2011): 278. http://dx.doi.org/10.1071/ah10890.

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Objective. To explore dimensions and varieties of economic evaluations that healthcare decision-makers do or do not use. Design. Web-based survey. Setting and participants. A purposive sample of Australian healthcare decision-makers was recruited by direct invitation through email. All were invited to complete an online questionnaire derived from the EUROMET 2004 survey. Results. A total of 91 questionnaires were analysed. Almost all participants were involved in financial resource allocations. Most commonly, participants based their decisions on patient needs, effectiveness of interventions, cost of interventions or overall budgetary effect, and policy directives. Evidence from cost-effectiveness analysis was used by half of the participants. Timing, ethical issues and lack of knowledge about economic evaluation were the most significant barriers to the use of economic evaluations in resource allocation decisions. Most participants reported being moderately to very familiar with the cost-effectiveness analysis. There was a general impression that evidence from economic evaluations should play a larger role in the future. Conclusions. Evidence from health economic evaluations may provide valuable information in some decisions; however, at present, it is not central to many decisions. The study suggests that, for economic evaluation to be helpful in real-life policy decisions, it has to be placed into context – a context which is complex, political and often resistant to voluntary change. What is known about the topic? There are increasing calls for the use of evidence from formal economic evaluations to improve the quality of healthcare decision making; however, it is widely acknowledged that such evidence, as presently constituted, is underused in its influence on allocation decisions. What does this paper add? This study highlights that resource allocation decisions cannot be purely based on the use of technical, economic data or systematic evidence-based reviews. In order to exploit the full potential value of economic evaluations, researchers need to make better sense of decision contexts at specific times and places. What are the implications for practitioners? The study has the potential to expand researchers and policy-makers’ understanding of the limited use of economic evaluation in decision-making. It produces evidence that decision-making in Australia’s healthcare system is not or cannot be a fully rational bounded process. Economic evaluation is used in some contexts, where information is accurate, complete and available.

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Caramia, Massimiliano, and Stefano Giordani. "An Economic Model for Resource Allocation in Grid Computing." Operations Research 59, no. 4 (August 2011): 956–72. http://dx.doi.org/10.1287/opre.1100.0908.

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32

Wong, Kar‐yiu. "Economic growth and resource allocation: the case of China." Journal of Chinese Economic and Foreign Trade Studies 1, no. 2 (June 6, 2008): 105–21. http://dx.doi.org/10.1108/17544400810885933.

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Purkayastha, Dipankar. "Economic Growth, Intra-Household Resource Allocation and Gender Inequality." Atlantic Economic Journal 38, no. 4 (March 14, 2010): 465–66. http://dx.doi.org/10.1007/s11293-010-9216-4.

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M. Kamari, N. A., M. A. Zulkifley, N. F. Ramli, and I. Musirin. "Optimal power scheduling for economic dispatch using moth flame optimizer." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (October 1, 2020): 379. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp379-384.

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<p>This paper proposes the optimal generator allocation to solve Economic Dispatch (ED) problem in power system using Moth Flame Optimizer (MFO). With this approach, the optimum power for each unit generating in the system will be searched based on the power constraints per unit and the amount of power demand. The objective function of this study is to minimize the total cost of generation. The amount of power loss is measured to determine the effectiveness of the proposed technique. The performance of the MFO technique is also compared to the evolutionary programming (EP) and Particle Swarm Optimization (PSO) methods. Five- and thirty-bus power system networks are selected as test systems and simulated using MATLAB. Based on simulation results, MFO provides better results in regulating the optimum power generation with minimum generation cost and power loss, compared to EP and PSO.</p>

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35

Xie, Jun, and Ji Guang Li. "Grid Resource Discovery Strategies Base on Multi-Economic Agent." Applied Mechanics and Materials 29-32 (August 2010): 1100–1108. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1100.

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The paper presents a market oriented resource allocation strategy for grid resource. The proposed model uses the utility functions for calculating the utility of a resource allocation. This paper is target to solve above issues by using utility-based optimization scheme. We firstly point out the factors that influence the resources’ prices; then make out the trading flow for resource consumer agents and provider agents. By doing these, the two trading agents can decide their price due to the dynamic changes of the Grid environment without any manmade interferences. Total user benefit of the computational grid is maximized when the equilibrium prices are obtained through the consumer’s market optimization and provider’s market optimization. The economic model is the basis of an iterative algorithm that, given a finite set of requests, is used to perform optimal resource allocation.

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Griffin, Susan, Karl Claxton, and Mark Sculpher. "Decision analysis for resource allocation in health care." Journal of Health Services Research & Policy 13, no. 3_suppl (October 2008): 23–30. http://dx.doi.org/10.1258/jhsrp.2008.008017.

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This paper addresses the use of economic evaluation to inform resource allocation decisions within health care systems about which interventions to reimburse and whether additional research should be funded. A social decision-making view of economic evaluation, that is to maximize health gains subject to an exogenous budget constraint, is adopted. A brief overview of the components of an economic evaluation is presented. Particular attention is paid to how uncertainty is inherent to decisions about resource allocation, the consequences of that uncertainty and how it can be incorporated informatively into economic evaluation. A Bayesian approach to uncertainty is used as it meets the needs of social decision-making, allowing analysts to quantify the probability that an intervention is cost-effective given the available evidence and to quantify the expected value of further research. The discussion covers methods to represent parameter and structural uncertainty and considers the role of formal elicitation of expert judgements. The association between decisions to approve interventions for reimbursement and decisions about future research funding, and how value of information analysis can be used to formalize this link, is explained. Recent developments in the UK highlight the evolving policy environment for economic evaluation, such as the Cooksey report on the funding of UK health research, the review of the Pharmaceutical Price Regulation Scheme by the Office of Fair Trading and the update of the methodological guidelines issued by the National Institute for Health and Clinical Excellence. The paper concludes by describing ongoing methodological work designed to meet the challenges of undertaking decision analysis for resource allocation in health care.

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Sathish, Kuppani, and A. Rama Mohan Reddy. "Resource Allocation Mechanism with New Models for Grid Environment." International Journal of Grid and High Performance Computing 5, no. 2 (April 2013): 1–26. http://dx.doi.org/10.4018/jghpc.2013040101.

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Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span.

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Wang, Shu Xiang, Ji Chun Liu, Chuang Deng, Wei Dong Zheng, Hou Dong Xu, Fang Zhang, and Peng Zhang. "The Dispatch Method Based on Demand Response under the Pressure of Energy-Saving." Advanced Materials Research 860-863 (December 2013): 746–53. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.746.

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To promote the development of energy-saving dispatch under the pressure of energy saving and environmental protection, this paper proposes an energy-saving dispatch method based on considering demand response, which establishes a bi-level optimization model based on the optimal allocation plan of thermal units and interruptible loads, and solve the problem with improved NSGA-II and sensitivity analysis between unit interrupt capacity and thermal unit output. The case study shows that this model can decrease the pollutants at both generation side and demand side significantly with guaranteeing the economic of power grid operation. The model can also give the dispatch schedule of thermal units and interruptible loads accurately and thus has some use value.

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Pourebrahimi, Behnaz, and Koen Bertels. "Self-Adaptive Economic-Based Resource Allocation in Ad-Hoc Grids." International Journal of Embedded and Real-Time Communication Systems 3, no. 2 (April 2012): 111–30. http://dx.doi.org/10.4018/jertcs.2012040106.

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Resource allocation is the process of discovering and allocating resources to requested tasks in a way that satisfy both user jobs and resource administrators. In ad-hoc Grids, resource allocation is a challenging undertaking as tasks and resources are distributed, heterogeneous in nature, owned by different individuals or organizations and they may arise spontaneously at any time with various requirements and availabilities. In this paper, the authors address an economic-based framework for resource allocation in ad-hoc Grids to deal with the dynamic nature of such networks. Within the economic framework, self-interested nodes in ad-hoc Grids are considered as consumers (buyers) and producers (sellers) of resources. Consumers and producers of resources are autonomous agents that cooperate through a simple, single metric namely the price that summarizes the global state of a network in a number. Adaptation is achieved by individual nodes through adopting a bidding strategy that adjusts the price according to the current state of the network in order to optimize the local utility of the node.

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NAFZIGER, STEVEN. "Communal Institutions, Resource Allocation, and Russian Economic Development: 1861–1905." Journal of Economic History 68, no. 2 (June 2008): 570–75. http://dx.doi.org/10.1017/s0022050708000417.

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Lynar, Timothy M., N. A. Simon, Ric D. Herbert, and William J. Chivers. "Reducing energy consumption in distributed computing through economic resource allocation." International Journal of Grid and Utility Computing 4, no. 4 (2013): 231. http://dx.doi.org/10.1504/ijguc.2013.057117.

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Sacks, Rafael, and Michael Harel. "An economic game theory model of subcontractor resource allocation behaviour." Construction Management and Economics 24, no. 8 (August 2006): 869–81. http://dx.doi.org/10.1080/01446190600631856.

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Hsieh, Chung-Chi, and Yi-Ting Chen. "Reliable and economic resource allocation in an unreliable flow network." Computers & Operations Research 32, no. 3 (March 2005): 613–28. http://dx.doi.org/10.1016/j.cor.2003.08.008.

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Payne, Katherine, and David Gurwitz. "Informing resource allocation decision making: economic evaluations of pharmacogenetic tests." Drug Development Research 71, no. 8 (December 2010): 445–48. http://dx.doi.org/10.1002/ddr.20429.

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Tallon, John M., Lu Zheng, Julie Wei, William Dick, George Papadopoulos, and Ognjenka Djurdjev. "Population-based analysis of the effect of a comprehensive, systematic change in an emergency medical services resource allocation plan on 24-hour mortality." CJEM 22, no. 1 (October 29, 2019): 86–94. http://dx.doi.org/10.1017/cem.2019.429.

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ABSTRACTBackgroundResource allocation planning for emergency medical services (EMS) systems determines appropriate resources including what paramedic qualification and how rapidly to respond to patients for optimal outcomes. The British Columbia Emergency Health Services implemented a revised response plan in 2013.MethodsA pre- and post-methodology was used to evaluate the effect of the resource allocation plan revision on 24-hour mortality. All adult cases with evaluable outcome data (obtained through linked provincial health administrative data) were analyzed. Multivariable logistic regression was used to adjust for variations in other significant associated factors. Interrupted time series analysis was used to estimate immediate changes in level or trend of outcome after the start of the revised resource allocation plan implementation, while simultaneously controlling for pre-existing trends.ResultsThe derived cohort comprised 562,546 cases (April 2012–March 2015). When adjusted for age, sex, urban/metro region, season, day, hour, and dispatch determinant, the probability of dying within 24 hours of an EMS call was 7% lower in the post-resource allocation plan-revision cohort (OR = 0.936; 95% CI: 0.886–0.989; p = 0.018). A subgroup analysis of immediately life-threatening cases demonstrated similar effect (OR = 0.890; 95% CI: 0.808–0.981; p = 0.019). Using time series analysis, the descending changes in overall 24-hour mortality trend and the 24-hour mortality trend in immediately life-threatening cases, were both statistically significant (p < 0.001).ConclusionComprehensive, evidence-informed reconstruction of a provincial EMS resource allocation plan is feasible. Despite change in crew level response and resource allocation, there was significant decrease in 24-hour mortality in this pan-provincial population-based cohort.

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Regier, H. A., and A. P. Grima. "Fishery Resource Allocation: An Exploratory Essay." Canadian Journal of Fisheries and Aquatic Sciences 42, no. 4 (April 1, 1985): 845–59. http://dx.doi.org/10.1139/f85-109.

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In Canada our approach to the management of fish resources and their habitats has been in turmoil for several decades, especially during the past decade. That many direct and indirect users of the aquatic ecosystems have been and are continuing to make improper use of them is widely recognized by the public and in formal government policies. Some of the improprieties have been reduced while others are intensifying. How to reduce all improprieties and how to foster meliorative husbandry are being addressed with respect to ecological, social, economic, and political aspects of the man–nature ecosystem. Reconsideration of all rights to the use of fish and their habitats, where the "rights" may be de jure and formally sanctioned, or de facto and informally accepted or imagined and illegal, is leading to proposals that legitimate rights be clarified and be allocated in more explicit and open ways. As allocative devices both the market system and processes of community-level negotiation are being developed further, and the centralized administrative (or bureaucratic) device is being reformed to accommodate the greater use of complementary devices. These issues are here explored with respect to intrajurisdictional problems and opportunities in Canada.

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Nahas, Nabil, Mohamed Noomane Darghouth, and Mohammed Abouheaf. "A Non-Linear-Threshold-Accepting Function Based Algorithm for the Solution of Economic Dispatch Problem." RAIRO - Operations Research 54, no. 5 (June 12, 2020): 1269–89. http://dx.doi.org/10.1051/ro/2019043.

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This article introduces a novel heuristic algorithm based on Non-Linear Threshold Accepting Function to solve the challenging non-convex economic dispatch problem. Economic dispatch is a power system management tool; it is used to allocate the total power generation to the generating units to meet the active load demand. The power systems are highly nonlinear due to the physical and operational constraints. The complexity of the resulting non-convex objective cost function led to inabilities to solve the problem by using analytical approaches, especially in the case of large-scale problems. Optimization techniques based on heuristics are used to overcome these difficulties. The Non-Linear Threshold Accepting Algorithm has demonstrated efficiency in solving various instances of static and dynamic allocation and scheduling problems but has never been applied to solve the economic dispatch problem. Existing benchmark systems are used to evaluate the performance of the proposed heuristic. Additional random instances with different sizes are generated to compare the adopted heuristic to the Harmony Search and the Whale Optimization Algorithms. The obtained results showed the superiority of the proposed algorithm in finding, for all considered instances, a high-quality solution in minimum computational time.

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Davis, MD, James S., Bassan J. Allan, MD, MBA, Amy M. Pearlman, BS, Daniel P. Carvajal, BBA, PMP, and Carl I. Schulman, MD, PhD, MSPH. "Optimal emergency personnel allocation after a natural disaster." American Journal of Disaster Medicine 7, no. 1 (January 1, 2012): 31–36. http://dx.doi.org/10.5055/ajdm.2012.0078.

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Objective: Little work has been devoted to the links between natural disasters, subsequent Emergency Medical Services (EMS) network utilization, triage, and public awareness. The aim of this study was to investigate the types and distribution of emergency calls recorded after each South Florida hurricane during the 2005 season, identifying target areas for public health education, and emergency personnel use and training.Design: Retrospective database review.Setting: Miami-Dade Fire Rescue (MDFR) emergency dispatch headquarters.Patients, participants: All persons making 911 phone calls to the MDFR emergency dispatch headquarters in the 3 days before and after category 3 or higher hurricanes during 2005.Interventions: None.Results: There were 192,363 emergencies reported in 2005. The mean number of 911 emergencies reported per day for the 3 days before and after Katrina was 503 ± 26 and 819 ± 105, respectively (p = 0.007). The mean number for Wilma was 533 ± 42 before and 800 ± 63 after (p = 0.004). However, Rita had no impact on the number of 911 emergencies reported. Katrina resulted in a statistically significant increase in 911 calls for breathing (p = 0.03), convulsions and seizures (p = 0.02), and hazardous situations (p = 0.04). Rita led to an increase in convulsions and seizures (p = 0.03). Lastly,Wilma caused a rise in breathing emergencies (p = 0.02) and hazardous situations (p = 0.02).Conclusions: This study suggests that 911 calls regarding respiratory complaints, convulsions, seizures, and hazardous situations can be expected to significantly increase after a hurricane. Educational initiatives,EMS resource allocation, and modified triage systems designed to target these areas may limit EMS system-wide strain and improve health outcomes following natural disasters.

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Sheble, Gerald B. "Real-Time Economic Dispatch and Reserve Allocation Using Merit Order Loading and Linear Programming Rules." IEEE Power Engineering Review 9, no. 11 (November 1989): 37. http://dx.doi.org/10.1109/mper.1989.4310375.

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Sheble, G. B. "Real-time economic dispatch and reserve allocation using merit order loading and linear programming rules." IEEE Transactions on Power Systems 4, no. 4 (1989): 1414–20. http://dx.doi.org/10.1109/59.41692.

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