Relevant bibliographies by topics / Locational Marginal Price

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Locational Marginal Price'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 June 2025

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Journal articles on the topic "Locational Marginal Price"

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Conejo, A. J., E. Castillo, R. Minguez, and F. Milano. "Locational Marginal Price Sensitivities." IEEE Transactions on Power Systems 20, no. 4 (2005): 2026–33. http://dx.doi.org/10.1109/tpwrs.2005.857918.

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Nesti, T., J. Moriarty, A. Zocca, and B. Zwart. "Large fluctuations in locational marginal prices." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2202 (2021): 20190438. http://dx.doi.org/10.1098/rsta.2019.0438.

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This paper investigates large fluctuations of locational marginal prices (LMPs) in wholesale energy markets caused by volatile renewable generation profiles. Specifically, we study events of the form P ( LMP ∉ ∏ i = 1 n [ α i − , α i + ] ) , where LMP is the vector of LMPs at the n power grid nodes, and α − , α + ∈ R n are vectors of price thresholds specifying undesirable price occurrences. By exploiting the structure of the supply–demand matching mechanism in power grids, we look at LMPs as deterministic piecewise affine, possibly discontinuous functions of the stochastic input process, modelling uncontrollable renewable generation. We use techniques from large deviations theory to identify the most likely ways for extreme price spikes to happen, and to rank the nodes of the power grid in terms of their likelihood of experiencing a price spike. Our results are derived in the case of Gaussian fluctuations, and are validated numerically on the IEEE 14-bus test case. This article is part of the theme issue ‘The mathematics of energy systems’.
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Khatami, Roohallah, and Masood Parvania. "Continuous-Time Locational Marginal Price of Electricity." IEEE Access 7 (2019): 129480–93. http://dx.doi.org/10.1109/access.2019.2939366.

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Peng, J. C., A. Luo, H. Jiang, G. Xu, and C. Huang. "Independent marginal losses with application to locational marginal price calculation." IET Generation, Transmission & Distribution 3, no. 7 (2009): 679–89. http://dx.doi.org/10.1049/iet-gtd.2008.0551.

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Sun, Jian, Nan Gu, and Chenye Wu. "Strategic Bidding in Extended Locational Marginal Price Scheme." IEEE Control Systems Letters 5, no. 1 (2021): 19–24. http://dx.doi.org/10.1109/lcsys.2020.2999105.

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Li, Zhenhao, Chun Sing Lai, Xu Xu, Zhuoli Zhao, and Loi Lei Lai. "Electricity trading based on distribution locational marginal price." International Journal of Electrical Power & Energy Systems 124 (January 2021): 106322. http://dx.doi.org/10.1016/j.ijepes.2020.106322.

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Zheng, Kedi, Yi Wang, Kai Liu, and Qixin Chen. "Locational Marginal Price Forecasting: A Componential and Ensemble Approach." IEEE Transactions on Smart Grid 11, no. 5 (2020): 4555–64. http://dx.doi.org/10.1109/tsg.2020.2985070.

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Nwulu, Nnamdi I., and Murat Fahrioglu. "A soft computing approach to projecting locational marginal price." Neural Computing and Applications 22, no. 6 (2012): 1115–24. http://dx.doi.org/10.1007/s00521-012-0875-8.

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Pal, Poushali. "A review on Locational Marginal Price (LMP) for deregulated industry." Journal of Applied and Advanced Research 1, no. 1 (2018): 22. http://dx.doi.org/10.21839/jaar.2018.v1i1.128.

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In recent years the power industry has experienced significant changes in power distribution systems primarily due to implementation of smart grid technologies and implementation of distributed generation.This paper focuses on LOCATIONAL MARGINAL PRICING method which is the most effective method for determining the optimal location of generator taking consideration of the constraints like voltage limits, line flow limits,congestion of the line, line losses etc.
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Pal, Poushali. "A review on Locational Marginal Price (LMP) for deregulated industry." Journal of Applied and Advanced Research 3, no. 1 (2018): 22. http://dx.doi.org/10.21839/jaar.2018.v3i1.128.

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In recent years the power industry has experienced significant changes in power distribution systems primarily due to implementation of smart grid technologies and implementation of distributed generation.This paper focuses on LOCATIONAL MARGINAL PRICING method which is the most effective method for determining the optimal location of generator taking consideration of the constraints like voltage limits, line flow limits,congestion of the line, line losses etc.
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Dissertations / Theses on the topic "Locational Marginal Price"

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Hanif, Sarmad [Verfasser], Thomas [Akademischer Betreuer] Hamacher, Hoay Beng [Gutachter] Gooi, and Thomas [Gutachter] Hamacher. "Distribution Locational Marginal Price: Approximations, Solution Algorithm and Organization / Sarmad Hanif ; Gutachter: Hoay Beng Gooi, Thomas Hamacher ; Betreuer: Thomas Hamacher." München : Universitätsbibliothek der TU München, 2018. http://d-nb.info/1171425546/34.

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Biswas, Shuchismita. "Understanding the Impacts of Data Integrity Attacks in the Context of Transactive Control Systems." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/86851.

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The rapid growth of internet-connected smart devices capable of exchanging energy price information and adaptively controlling the consumption of connected loads, has paved the way for transactive control to make inroads in the modern grid. Transactive control frameworks integrate the wholesale and retail energy markets, and enable active participation of end users, thereby playing a key role in managing the rising number of distributed assets.However, the use of internet for the communication of data among the building, distribution,and transmission levels makes the system susceptible to external intrusions. A skilled adversary can potentially manipulate the exchanged data with the intention to inflict damage to the system or increase financial gains. In this thesis, the effect of such data integrity attacks on information exchanged between the distribution systems operator and end-users is investigated. Impact on grid operations is evaluated using different categories like operational, financial, user comfort and reliability parameters. It is shown that attack impact depends on a number of factors like attack duration, time of attack, penetration rate etc besides the attack magnitude. The effect of an attack continues to persist for some time after its removal and hence effective detection and mitigation strategies will be required to ensure system resilience and robustness.<br>Master of Science<br>Transactive energy is a framework where price-responsive loads adjust their energy consumption at a certain time according to the real-time energy price sent by the utility. Field demonstrations in recent years have shown that transactive control can effectively manage grid objectives and also monetarily benefit both the electric utility and end-users. Therefore, transactive energy is expected to make inroads into conventional grid operations in the next few years. As successful operation of such a market depends on the information exchanged among different stakeholders, a malicious adversary may try to inject false data and affect system operations. This thesis investigates how manipulating data in the transactive energy platform affects system operations and financial gains of different stakeholders. Understanding system behavior under attack conditions will help in formulating effective detection and mitigation strategies and enhancing system resilience.
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Wang, Lingyun. "Feeder Performance Analysis with Distributed Algorithm." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/31949.

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How to evaluate the performance of an electric power distribution system unambiguously and quantitatively is not easy. How to accurately measure the efficiency of it for a whole year, using real time hour-by-hour Locational Marginal Price data, is difficult. How to utilize distributed computing technology to accomplish these tasks with a timely fashion is challenging. This thesis addresses the issues mentioned above, by investigating feeder performance analysis of electric power distribution systems with distributed algorithm. Feeder performance analysis computes a modeled circuitâ s performance over an entire year, listing key circuit performance parameters such as efficiency, loading, losses, cost impact, power factor, three phase imbalance, capacity usage and others, providing detailed operating information for the system, and an overview of the performance of every circuit in the system. A diakoptics tearing method and Graph Trace Analysis based distributed computing technology is utilized to speed up the calculation. A general distributed computing architecture is established and a distributed computing algorithm is described. To the best of the authorâ s knowledge, it is the first time that this detailed performance analysis is researched, developed and tested, using a diakoptics based tearing method and Graph Trace Analysis to split the system so that it can be analyzed with distributed computing technology.<br>Master of Science
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Ratul, Saiful A. "Optimal DG Placement: A Multimethod Analysis." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2269.

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With Power System being restructured in the vision of Smart Grid, it is important now more than ever to find suitable locations to place Distributed Generators (DG). Distributed generators, which may be renewable, are not limited to specific locations as in the case of conventional generators. Several papers have been published that make suggestions on where the optimal location of DG should be in a system. Objectives ranging from loss minimization to total cost minimization have been the factor for such studies. In this study, a new method is introduced that hopes to improve a current system in three ways by maximizing load, minimizing the locational marginal price and improving line contingency scenarios. The proposed methodology is simulated using MATPOWER’s Optimal Power Flow on the IEEE 14 bus test system.
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Song, Fei. "Deregulated power transmission analysis and planning in congested networks." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/4819.

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In this thesis, methods of charging for the transmission system and optimising the expansion of the transmission network under the competitive power market are described. The first part of this thesis considers transmission tariff design. In the proposed approach, not only is all the necessary investment in the transmission system recovered, but also an absolute economic signal is offered which is very useful in the competitive power market. A fair power market opportunity is given to every participant by the new nodal-use method. The second part of this thesis considers transmission system expansion. All the tests are based on the Three Gorges Project in China. In this thesis, to optimally expand the transmission system, the LMP (Locational Marginal Price) selection method and the CBEP (Congestion-Based transmission system Expansion Planning) method are introduced. The LMP selection method is used to select optional plans for transmission system expansion. It is especially suitable for large transmission systems. The outstanding advantages of the LMP selection method are simplicity and computational efficiency. The CBEP method produces the optimal system expansion plan. For the first time, generation congestion and transmission congestion are separated within the system expansion problem. For this reason the CBEP method can be used in a supply-side power market and is suitable for the Chinese power market. In this thesis, the issue of how to relax the congestion in the transmission system have been solved. The transmission system can obtain enough income to recover the total required cost. For this reason more and more investment will come into the transmission system from investors. The risk for the independent generators is also under control in the CBEP method. Even when the system is congested, the uncertainty of LMP is taken into consideration.
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Jamalzadeh, Reza. "Microgrid Optimal Power Flow Based On Generalized Benders Decomposition." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1512743611060712.

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Birk, Michael E. "Impact of distributed energy resources on locational marginal prices and electricity networks." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104818.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 69-73).<br>Distributed energy resources (DERs) are projected to be significant components of the modern power grid, active players in electricity markets and salient tools used in the operation of electric grids. The objective of this thesis is to determine the impact distributed energy resources have on power grids and markets. This research investigates, models, and quantifies the influence of DERs on prices of electricity, networks and environmental effects. There is an evolving role between distribution and transmission system operations. Quantitative modeling and a qualitative literature, industry and regulatory review were utilized to determine the impact that DERs have on market prices, grid operations and the environment of the future. Distributed energy resources will impact the electric grid: from market economics to grid operations and reliability to coordination, and regulations. Firstly, from the European Union to the United States, power systems across the world are transforming to include and integrate larger penetrations of decentralized resources, while maintaining or increasing efficiency and operational reliability. Secondly, distributed energy resources have a quantifiable impact on short-term wholesale pricing of electricity (LMPs). Thirdly, distribution locational marginal prices (DLMPs) have been approximated, using a direct current optimal power flow, and yield insight into the revenues, prices, emissions and other bulk power system impacts at the interface between real-world transmission and distribution electricity networks. Lastly, the impact and to whom, whether costly or beneficial, that distributed energy resources have in markets and society, depends on the location in which they are interconnected.<br>by Michael E. Birk.<br>S.M. in Technology and Policy
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Kodsi, Sameh. "Accounting for the Effects of Power System Controllers and Stability on Power Dispatch and Electricity Market Prices." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/930.

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Recently, the widespread use of power system controllers, such as PSS and FACTS controllers, has led to the analysis of their effect on the overall stability of power systems. Many studies have been conducted to allocate FACTS controllers so that they achieve optimal power flow conditions in the context of Optimal Power Flow (OPF) analysis. However, these studies usually do not examine the effect of these controllers on the voltage and angle stability of the entire system, considering that the types of these controllers and their control signals, such as reactive power, current, or voltage, have significant effect on the entire system stability. <br /><br /> Due to the recent transition from government controlled to deregulated electricity markets, the relationship between power system controllers and electricity markets has added a new dimension, as the effect of these controllers on the overall power system stability has to be seen from an economic point of view. Studying the effect of adding and tuning these controllers on the pricing of electricity within the context of electricity markets is a significant and novel research area. Specifically, the link among stability, FACTS controllers and electricity pricing should be appropriately studied and modelled. <br /><br /> Consequently, in this thesis, the focus is on proposing and describing of a novel OPF technique which includes a new stability constraint. This technique is compared with respect to existent OPF techniques, demonstrating that it provides an appropriate modelling of system controllers, and thus a better understanding of their effects on system stability and energy pricing. The proposed OPF technique offers a new methodology for pricing the dynamic services provided by the system's controllers. Moreover, the new OPF technique can be used to develop a novel tuning methodology for PSS and FACTS controllers to optimize power dispatch and price levels, as guaranteeing an adequate level of system security. All tests and comparisons are illustrated using 3-bus and 14-bus benchmark systems.
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SARAIVA, Felipe Oliveira Silva. "Técnicas de inteligência artificial aplicadas na análise de mercados elétricos com inserção de geração eólica e de sistemas de armazenamento de energia nas redes elétricas de potência." Universidade Federal do Maranhão, 2017. http://tedebc.ufma.br:8080/jspui/handle/tede/1774.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-08-02T11:31:43Z No. of bitstreams: 1 Felipe Oliveira.pdf: 3179442 bytes, checksum: 0988804a0a58c2aaf337ea2f5034dc42 (MD5)<br>Made available in DSpace on 2017-08-02T11:31:43Z (GMT). No. of bitstreams: 1 Felipe Oliveira.pdf: 3179442 bytes, checksum: 0988804a0a58c2aaf337ea2f5034dc42 (MD5) Previous issue date: 2017-02-17<br>The locational marginal prices (LMPs) are essential financial guidelines for the electricity industry, which orientates most of the projects and deliberations in electrical market environments. In current scenario of the electricity markets, wind power plants and energy storage systems have been revealing itself as feasible and relevant electrical energy supply alternatives. In this work a generic methodology based on artificial intelligence (AI) techniques is formulated and applied to the calculation and decomposition of LMPs of electric power systems (EPS) with the insertion of energy storage systems and wind farms. In the proposed AI-based methodology the optimal power flow (OPF) model, on which the calculation and decomposition of LMP is based, considers the wind behavior profile volatility, the risks of wind power levels previously scheduled, and the energy storage systems operative peculiarities. The proposed AI-based methodology takes into account the mathematical and computational models of the particle swarm optimization (PSO) algorithm. This proposal was properly implemented and applied for the computation and decomposition of LMPs of test systems and considering different operative scenarios involving conventional power plants, wind farms, and energy storage systems.<br>Os preços marginais locacionais (LMPs – Locational Marginal Prices) consistem em diretrizes financeiras mercadologicamente indispensáveis para a indústria da eletricidade, os quais norteiam grande parte dos projetos e deliberações no âmbito dos mercados elétricos. No panorama vigente dos mercados elétricos, as plantas de geração eólica e os sistemas de armazenamento de energia vêm progressiva e ininterruptamente se revelando alternativas de suprimento de eletricidade cada vez mais relevantes e viáveis. Neste trabalho, é formulada uma metodologia genérica baseada em técnicas de inteligência artificial (IA) cuja aplicação tem o objetivo de computar e decompor os LMPs associados às barras constituintes de um sistema elétrico de potência (SEP) integrado por geradores convencionais, plantas de geração eólica e por sistemas de armazenamento de energia. Na metodologia IA proposta, o modelo de fluxo de potência ótimo (FPO) sobre o qual se alicerça o cômputo e a decomposição dos LMPs associados às barras de um SEP, leva em consideração a volatilidade inerente ao perfil comportamental dos ventos, os riscos associados à assunção de níveis previamente programados de potência proveniente da geração eólica e as peculiaridades operativas concernentes aos sistemas de armazenamento de energia. Adotando-se os modelos matemáticos e computacionais dos algoritmos de otimização por enxame de partículas (PSO – Particle Swarm Optimization), a metodologia IA proposta foi devidamente implementada e aplicada na aquisição e decomposição dos LMPs associados às barras constituintes de sistemas-testes submetidos a diferentes cenários operativos envolvendo centrais de geração convencionais, plantas de geração eólica e sistemas de armazenamento de energia.
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Zubo, Rana H. A. "Distribution Network Operation with High Penetration of Renewable Energy Sources. Joint Active/Reactive Power Procurement: A Market-Based Approach for Operation of Distribution Network." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18267.

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Distributed generators (DGs) are proposed as a possible solution to supply economic and reliable electricity to customers. It is adapted to overcome the challenges that are characterized by centralized generation such as transmission and distribution losses, high cost of fossil fuels and environmental damage. This work presents the basic principles of integrating renewable DGs in low voltage distribution networks and particularly focuses on the operation of DG installations and their impacts on active and reactive power. In this thesis, a novel technique that applies the stochastic approach for the operation of distribution networks with considering active network management (ANM) schemes and demand response (DR) within a joint active and reactive distribution market environment is proposed. The projected model is maximized based on social welfare (SW) using market-based joint active and reactive optimal power flow (OPF). The intermittent behaviour of renewable sources (such as solar irradiance and wind speed) and the load demands are modelled through Scenario-Tree technique. The distributed network frame is recast using mixed-integer linear programming (MILP) that is solved by using the GAMS software and then the obtained results are being analysed and discussed. In addition, the impact of wind and solar power penetration on the active and reactive distribution locational prices (D-LMPs) within the distribution market environment is explored in terms of the maximization of SW considering the uncertainty related to solar irradiance, wind speed and load demands. Finally, a realistic case study (16-bus UK generic medium voltage distribution system) is used to demonstrate the effectiveness of the proposed method. Results show that ANM schemes and DR integration lead to an increase in the social welfare and total dispatched active and reactive power and consequently decrease in active and reactive D-LMPs.<br>Ministry of Higher Education and Scientific Research - Iraq<br>The selected author's publications, the published versions of which were attached at the end of the thesis, have been removed due to copyright.
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Book chapters on the topic "Locational Marginal Price"

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Heistrene, Leena, Yash Shukla, Yaman Kalra, Poonam Mishra, and Makarand Lokhande. "Impact of Growing Share of Renewable Energy Sources on Locational Marginal Prices." In Proceedings of the 7th International Conference on Advances in Energy Research. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5955-6_21.

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Duke-Williams, Oliver, and John Stillwell. "Temporal and Spatial Consistency." In Geographic Information Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch101.

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One of the major problems challenging time series research based on stock and flow data is the inconsistency that occurs over time due to changes in variable definition, data classification and spatial boundary configuration. The census of population is a prime example of a source whose data are fraught with these problems, resulting in even the simplest comparison between the 2001 Census and its predecessor in 1991 being difficult. The first part of this chapter introduces the subject of inconsistencies between related data sets, with general reference to census interaction data. Various types of inconsistency are described. A number of approaches to dealing with inconsistency are then outlined, with examples of how these have been used in practice. The handling of journey to work data of persons who work from home is then used as an illustrative example of the problems posed by inconsistencies in base populations. Home-workers have been treated in different ways in successive UK censuses, a factor which can cause difficulties not only for researchers interested in such working practices, but also for those interested in other aspects of commuting. The latter set of problems are perhaps more pernicious, as users are less likely to be aware of the biases introduced into data sets that are being compared. In the second half of this chapter, we make use of a time series data set of migration interaction data that does have temporal consistency to explore how migration propensities and patterns in England and Wales have changed since 1999 and in particular since the year prior to the 2001 Census. The data used are those that are produced by the Office of National Statistics based on comparisons of NHS patient records from one year to the next and adjusted using data on NHS patients re-registering in different health authorities. The analysis of these data suggests that the massive exodus of individuals from major metropolitan across the country that has been identified in previous studies is continuing apace, particularly from London whose net losses doubled in absolute terms between 1999 and 2004 before reducing marginally in 2005 and 2006. Whilst this pattern of counterurbanisation is evident for all-age flows, it conceals significant variations for certain age groups, not least those aged between 16 and 24, whose migration propensities are high and whose net redistribution is closely connected with the location of universities. The time series analyses are preceded by a comparison of patient register data with corresponding data from the 2001 Census. This suggests strong correlation between the indicators selected and strengthens the argument that patient register data in more recent years provide reliable evidence for researchers and policy makers on how propensities and patterns change over time.
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Duke-Williams, Oliver, and John Stillwell. "Temporal and Spatial Consistency." In Technologies for Migration and Commuting Analysis. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-755-8.ch005.

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One of the major problems challenging time series research based on stock and flow data is the inconsistency that occurs over time due to changes in variable definition, data classification and spatial boundary configuration. The census of population is a prime example of a source whose data are fraught with these problems, resulting in even the simplest comparison between the 2001 Census and its predecessor in 1991 being difficult. The first part of this chapter introduces the subject of inconsistencies between related data sets, with general reference to census interaction data. Various types of inconsistency are described. A number of approaches to dealing with inconsistency are then outlined, with examples of how these have been used in practice. The handling of journey to work data of persons who work from home is then used as an illustrative example of the problems posed by inconsistencies in base populations. Home-workers have been treated in different ways in successive UK censuses, a factor which can cause difficulties not only for researchers interested in such working practices, but also for those interested in other aspects of commuting. The latter set of problems are perhaps more pernicious, as users are less likely to be aware of the biases introduced into data sets that are being compared. In the second half of this chapter, we make use of a time series data set of migration interaction data that does have temporal consistency to explore how migration propensities and patterns in England and Wales have changed since 1999 and in particular since the year prior to the 2001 Census. The data used are those that are produced by the Office of National Statistics based on comparisons of NHS patient records from one year to the next and adjusted using data on NHS patients re-registering in different health authorities. The analysis of these data suggests that the massive exodus of individuals from major metropolitan across the country that has been identified in previous studies is continuing apace, particularly from London whose net losses doubled in absolute terms between 1999 and 2004 before reducing marginally in 2005 and 2006. Whilst this pattern of counterurbanisation is evident for all-age flows, it conceals significant variations for certain age groups, not least those aged between 16 and 24, whose migration propensities are high and whose net redistribution is closely connected with the location of universities. The time series analyses are preceded by a comparison of patient register data with corresponding data from the 2001 Census. This suggests strong correlation between the indicators selected and strengthens the argument that patient register data in more recent years provide reliable evidence for researchers and policy makers on how propensities and patterns change over time.
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Conference papers on the topic "Locational Marginal Price"

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Nematshahi, Saeed, and Habib Rajabi Mashhadi. "Distribution Locational Marginal Price analysis considering technical constraints." In 2017 Iranian Conference on Electrical Engineering (ICEE). IEEE, 2017. http://dx.doi.org/10.1109/iraniancee.2017.7985189.

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Zhou, Jingxuan, Qiaozhu Zhai, Liu Yang, and Yuxiang Wu. "Fast Algorithm for Multi-Period Locational Marginal Price." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8866582.

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Sahriatzadeh, Farshid, Pramila Nirbhavane, and Anurag K. Srivastava. "Locational marginal price for distribution system considering demand response." In 2012 North American Power Symposium (NAPS 2012). IEEE, 2012. http://dx.doi.org/10.1109/naps.2012.6336396.

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Zhaoqiang Ge, Minhui Ge, Libing Yang, and Dexing Wang. "Locational marginal price of East China Electric Power Market." In 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. IEEE, 2008. http://dx.doi.org/10.1109/drpt.2008.4523405.

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Alassaf, Abdullah, and Lingling Fan. "Bilevel Programming-Based Unit Commitment for Locational Marginal Price Computation." In 2018 North American Power Symposium (NAPS). IEEE, 2018. http://dx.doi.org/10.1109/naps.2018.8600580.

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Falak, Mohammad Esmali, Majid Oloomi Buygi, and Ali Karimpour. "Market oriented reactive power expansion planning using locational marginal price." In 2008 IEEE 2nd International Power and Energy Conference (PECon). IEEE, 2008. http://dx.doi.org/10.1109/pecon.2008.4762672.

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Aby, Ashok Thomas, S. Prabhakar Karthikeyan, Tulika Bhattacharya, Polly Thomas, and Emil Ninan skariah. "Sensitivity assessment on Locational Marginal Price under deregulated electricity market." In TENCON 2016 - 2016 IEEE Region 10 Conference. IEEE, 2016. http://dx.doi.org/10.1109/tencon.2016.7848308.

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Feng, Shuhai, Yang Bai, Zhongfei Chen, Cheng Shen, Limin Cheng, and Yuqing Bao. "Locational Marginal Price Model Considering Multi-Dimensional Characteristics of Generators." In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9062151.

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Sarafraz, Fahimeh, Hassan Ghasemi, and Hassan Monsef. "Locational marginal price forecasting by locally linear neuro-fuzzy model." In 2011 10th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2011. http://dx.doi.org/10.1109/eeeic.2011.5874828.

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Lalitha, S. V. N. L., and Maheswarapu Sydulu. "Hybrid Neural Network models for determination of Locational Marginal Price." In 2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011). IEEE, 2011. http://dx.doi.org/10.1109/his.2011.6122143.

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