Relevant bibliographies by topics / Electricity network and pricing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Electricity network and pricing'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Electricity network and pricing"

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G.Umale, V., Dr S.B.Warkad, S. Wadhankar, and H. S.Sakhare. "Optimal Pricing of Electricity in Restructured Electricity Market." International Journal of Engineering & Technology 7, no. 4.5 (September 22, 2018): 389. http://dx.doi.org/10.14419/ijet.v7i4.5.20189.

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An effective pricing scheme that to provide the useful information to generation, transmission section and customers. These transmission pricing depends on generator, load levels and transmission line constraints. Transmission line constraints result is variations in energy prices throughout the network. The proposed approach is based on AC-DC optimal power flow model with considering of losses. Resulting optimization problem is solved by linear programming approach. Locational Marginal Pricing methodology is used to determine the energy price for transacted power and to manage the network congestion and marginal losses. Variation of LMP values with transmission constraint conditions also studied. Simulation is carried out on IEEE 57 bus system, 400/765kV MSETCL system of Maharashtra transmission line for real data bus system and the results are presented.
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Morais, M. S., and J. W. Marangon Lima. "Combined natural gas and electricity network pricing." Electric Power Systems Research 77, no. 5-6 (April 2007): 712–19. http://dx.doi.org/10.1016/j.epsr.2006.05.005.

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Gökgöz, Fazil, and Fahrettin Filiz. "Electricity price forecasting in Turkey with artificial neural network models." Investment Management and Financial Innovations 13, no. 3 (September 23, 2016): 150–58. http://dx.doi.org/10.21511/imfi.13(3-1).2016.01.

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The electricity market has experienced significant changes towards deregulation with the aim of improving economic efficiency. The electricity pricing is a major consideration for consumers and generation companies in deregulated electric markets, so that offering the right price for electricity has become more important. Various methods and ideas have been tried for electricity price forecasting. Artificial neural networks have received much attention with its nonlinear property and many papers have reported successful experiments with them. This paper introduces artificial neural network models for day-ahead electricity market in Turkey. Using gradient descent, gradient descent with momentum, Broydan, Fletcher, Goldfarb and Shanno (BFGS) and Levenberg-Marquardt algorithm with different number of neuron and transfer functions, 400 different models are created. Performances of different models are compared according to their Mean Absolute Percentage (MAPE) values; the most successful models MAPE value is observed as 9.76%. Keywords: electricity price forecasting, neural networks, day-ahead electricity market, Turkey. JEL Classification: C02, C13, C45, C53
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Rokamwar, Kaustubh. "Feed- Forward Neural Network based Day Ahead Nodal Pricing." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 1029–33. http://dx.doi.org/10.22214/ijraset.2021.36352.

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An electricity locational marginal pricing prediction normally recognized by 24-hour day-ahead nodal price forecast. In this paper first collected all physical and technical data i.e. availability of generation and their cost characteristics, real and reactive demands at various buses, transmission capacity availability at various conditions like peak and off-peak conditions. All these input data are used as input for computation of optimal power flow. The nodal prices are calculated with AC-DC optimal power flow methodology for IEEE 30 bus system. The resulted optimal real electricity bus voltages, nodal prices, reactive and real demands, angles have been given as inputs to Artificial Neural Network (ANN) for predict day ahead nodal prices.
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Joskow, Paul L. "Creating a Smarter U.S. Electricity Grid." Journal of Economic Perspectives 26, no. 1 (February 1, 2012): 29–48. http://dx.doi.org/10.1257/jep.26.1.29.

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This paper focuses on efforts to build what policymakers call the “smart grid,” involving 1) improved remote monitoring and automatic and remote control of facilities in high-voltage electricity transmission networks; 2) improved remote monitoring, two-way communications, and automatic and remote control of local distribution networks; and 3) installation of “smart” metering and associated communications capabilities on customer premises so that customers can receive real-time price information and/or take advantage of opportunities to contract with their retail supplier to manage the consumer's electricity demands remotely in response to wholesale prices and network congestion. I examine the opportunities, challenges, and uncertainties associated with investments in “smart grid” technologies. I discuss some basic electricity supply and demand, pricing, and physical network attributes that are critical for understanding the opportunities and challenges associated with expanding deployment of smart grid technologies. Then I cover issues associated with the deployment of these technologies at the high voltage transmission, local distribution, and end-use metering levels.
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Liu, Xu, and Yang Liu. "A Transmission Pricing Method Considering Long-Term Capacity Cost." Applied Mechanics and Materials 316-317 (April 2013): 128–31. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.128.

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In the research of electricity market, electricity pricing is a key issue. Transmission pricing affects the interests of generation company, transmission company and consumer. In this paper, a new method of transmission pricing is proposed .It is based on the short term marginal cost method and further considers capacity cost. Simulation results show that the method proposed can not only lead to short-run market efficiency by providing effective economic signals to generators and consumers, but also ensure the balance between income and expenditure of transmission companies as well as help them accumulate special fund for transmission network expansion.
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Kobayashi, Koichi, and Kunihiko Hiraishi. "A Probabilistic Approach to Control of Complex Systems and Its Application to Real-Time Pricing." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/906717.

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Control of complex systems is one of the fundamental problems in control theory. In this paper, a control method for complex systems modeled by a probabilistic Boolean network (PBN) is studied. A PBN is widely used as a model of complex systems such as gene regulatory networks. For a PBN, the structural control problem is newly formulated. In this problem, a discrete probability distribution appeared in a PBN is controlled by the continuous-valued input. For this problem, an approximate solution method using a matrix-based representation for a PBN is proposed. Then, the problem is approximated by a linear programming problem. Furthermore, the proposed method is applied to design of real-time pricing systems of electricity. Electricity conservation is achieved by appropriately determining the electricity price over time. The effectiveness of the proposed method is presented by a numerical example on real-time pricing systems.
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Sidnell, Tim, Bogdan Dorneanu, Evgenia Mechleri, Vassilios S. Vassiliadis, and Harvey Arellano-Garcia. "Effects of Dynamic Pricing on the Design and Operation of Distributed Energy Resource Networks." Processes 9, no. 8 (July 28, 2021): 1306. http://dx.doi.org/10.3390/pr9081306.

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This paper presents a framework for the use of variable pricing to control electricity imported/exported to/from both fixed and unfixed residential distributed energy resource (DER) network designs. The framework shows that networks utilizing much of their own energy, and importing little from the national grid, are barely affected by dynamic import pricing, but are encouraged to sell more by dynamic export pricing. An increase in CO2 emissions per kWh of energy produced is observed for dynamic import and export, against a baseline configuration utilizing constant pricing. This is due to feed-in tariffs (FITs) that encourage CHP generation over lower-carbon technologies. Furthermore, batteries are shown to be expensive in systems receiving income from FITs and grid exports, but for the cases when they sell to/buy from the grid using dynamic pricing, their use in the networks becomes more economical.
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Umale, Virendra, and Sanjay Warkad. "Power quality based optimal nodal pricing in tradable electricity market." International Journal of Engineering & Technology 7, no. 2.8 (March 19, 2018): 692. http://dx.doi.org/10.14419/ijet.v7i2.8.10560.

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Optimal Power Flow method described the nodal transmission pricing into different related factors, such as congestion,generation, power and electric load limitations. These detailsof each bus transmission prices can be used for to improve the proper usage of transmission congestion and power grid and to get reasonable transmission pricing for power structure. The proposed methodology is demonstrated on IEEE57 bus system and Maharashtra utility electric 400/765kv network.
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Soonee, S. K., S. S. Barpanda, Mohit Joshi, Nripen Mishra, and Vaishally Bhardwaj. "Point of Connection Transmission Pricing in India." International Journal of Emerging Electric Power Systems 14, no. 1 (May 30, 2013): 9–16. http://dx.doi.org/10.1515/ijeeps-2013-0027.

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Abstract The National Electricity Policy (NEP) [1], issued by the Government of India, mandates transmission prices to be distance and direction sensitive and capture utilization of the network by each network user. In line with the mandate, the Central Electricity Regulatory Commission (CERC) [2] has issued Sharing of Interstate Transmission Charges and Losses Regulations, 2010 [3], to introduce point of connection (PoC)-based transmission pricing methodology in India. The methodology under the above regulations introduces one of the major reforms of its kind in the Indian power sector and seeks to share the total transmission charges in proportion to respective utilization of the transmission system by different entities. In this paper, the authors have enumerated their experience gained from the implementation of PoC-based transmission pricing regime in India. Authors have also discussed various issues encountered in the process of implementation and the methodology adopted.
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Dissertations / Theses on the topic "Electricity network and pricing"

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Beggs, Clive. "The use of ice thermal storage with real time electricity pricing." Thesis, De Montfort University, 1995. http://hdl.handle.net/2086/10674.

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The thesis investigates the application of ice thermal storage technology to situations where the price of electricity varies continuously with instantaneous network demand. A central hypothesis is postulated in chapter 1, which states: "A variable electricity pricing structure, in which unit price continuously varies in response to instantaneous network demand, enhances the opportunities and benefits of ice thermal storage. The benefits both financial and environmental are dependent on the establishment of control and design strategies which optimise performance by matching refrigeration load with the instantaneous electricity price. " For ease of reference, the form of pricing described above is referred to in the thesis as 'real time' electricity pricing. The 'pool price' which is used to facilitate the competitive electricity awkct in England and Wales, is one of the foremost examples of real time pricing. The thesis therefore uses the electricity supply industry in the UK as its research vehicle. Notwithstanding this, the work contained in the thesis can be applied to any country which applies real time electricity pricing mechanisms. The validity of the hypothesis is assessed in the thesis through the development of a variety of numerical and computer models. These models fall into two distinct categories; those concerned with predicting and optimising the financial benefits of ice thermal storage, and those concerned with predicting and optimising the environmental benefits of ice thermal storage. Chapters 2,3 and 4 should be treated as support chapters, which equip the reader with the prerequisite knowledge necessary to understand the research work contained in the later chapters. As such, these chapters contain, respectively, a description of the electricity supply industry in the UK, a discussion of demand side management in the UK, and a description of the technology involved in ice thermal storage. The parametric study contained in chapter 4 is however an original piece of research work by the author. The models developed to evaluate and optimise the economic benefits of ice thermal storage are presented in chapters 5 and 6, and are applied to contrasting theoretical case study applications, namely an office building and a dairy. In chapter 5a 'long hand' numerical analysis technique is used. In chapter 6 this technique is rationalised and developed into a computer model for optimising both the design and control of ice storage installations in real time electricity pricing applications. The environmental studies are presented in chapter 7. These concentrate on the ability of ice thermal storage to reduce carbon dioxide emissions. Although the overall objective of the chapter is to evaluate the carbon dioxide emissions associated with ice thermal storage, the bulk of the chapter is concerned with the development of a model for predicting the carbon dioxide emissions per kWh of delivered electrical energy in England and Wales on a time related basis. The development of this 'time of day' carbon dioxide model is one of the main objectives of the thesis. Having established this model, it is then used to analyse the carbon dioxide emissions associated with the dairy case study.
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Kinnunen, Kaisa. "Network pricing in the Nordic countries an empirical analysis of the local electricity distribution utilities' ; efficiency and pricing /." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969288670.

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Mullen, Christopher. "Interactions between demand side response, demand recovery, peak pricing and electricity distribution network capacity margins." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/4170.

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The operation of the electricity system is subject to: charges comprised of energy, capacity, use of system, peak demand and balancing components; payments for services that influence the timing and magnitude of demand; and regulatory and physical network constraints. This work explores the interactions of these characteristics in the GB system. The revenue flows associated with energy demand, balancing and use of system charges are mapped for generators, transmission and distribution network operators (TNO and DNOs), system operator (SO), electricity retailers and electricity users. Triads are part of the transmission network use of service charges and are a form of peak demand pricing. The cost-benefit of Triad avoidance using emergency standby generation is evaluated. Demand Side Response (DSR) provision by commercial electricity users on the network is modelled and simulated. The research determines the impacts of DSR timing, location and penetration level, demand recovery and incidence of Triad periods. A suite of software models was developed including: network demand agents which can be populated with demand profiles and include a model of energy recovery; an interface to Matpower [1] to allow for time-domain based power flow calculations and a model of Short Term Operating Reserve (STOR) which synthesizes calls at representative dates and times. The network demand agents are linked to bus-bars on a network model. The software suite is used to investigate the impacts of STOR provision by demand reduction with and without energy recovery on Triad demand using a Monte Carlo simulation. The total cost benefit of participation in STOR is evaluated. It is also used to conduct timeaware power-flow analysis on a distribution network model with STOR provision by demand reduction. The impact on network capacity headroom is quantified. The cost effectiveness of using standby generation for Triad avoidance was found to depend on the cost of the grid compliant connection. For a payback time of 4 years or less, with the size of generator considered, the grid compliant connection would have to cost less than £5,600. The probability of decreased Triad demand due STOR provision by demand reduction with energy recovery is up to 4 % for the parameters considered. This compares to a probability of up to 1.6 % that the Triad demand would be increased. The most likely outcome is that Triad demand remains unaffected. The total cost benefit of STOR Abstract 2 provision by demand reduction for the 1st percentile may be negative compared to not participating. The impact of DSR provision by demand reduction with energy recovery on the distribution network capacity overhead varies significantly with time of day and with the distribution of DSR over the network. For evenly distributed DSR, demand recovery peaks greater than 40 kW cause a reduction in capacity overhead. However, for a case where the DSR is not evenly distributed the capacity overhead does not decrease for recovery peaks less than 800 kW.
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Wang, Ji. "Long-run marginal cost pricing methodologies in open access electricity networks." Thesis, University of Bath, 2007. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.760866.

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Electricity network pricing methodologies play a key role in determining whether providing network services is economically beneficial to both the utilities and other m arket participants. There are many pricing methodologies that have been developed since the late 80's, especially for transmission networks. Compared to transmission pricing methods, distribution pricing methods are unsophisticated and pose a significant barrier to embedded generators. Hence, more efficient and executable methodologies are still desirable in open access electricity networks. This thesis presents a series of new long-run marginal cost (LRMC) pricing methodologies for both transmission and distribution networks, and demonstrates the processes o f evaluating and allocating the network asset costs. New reactive power pricing methods, based on the perpendicular approach and arc approach, have been proposed and demonstrated in these LRMC pricing process. Compared with other proposed LRMC pricing schemes, the novel long-run marginal cost with utilisation consideration (LRM C-Util%) pricing methodology aims to evaluate the network asset costs based on the usage o f the network facilities. It can reflect the future network investment and indicate the future location o f network users. The advantages o f LRMC-Util% include the ability to reflect the forward looking costs, to distinguish between the costs o f siting at different locations, to recognize o f the reactive power, and to derive charges for both generation and demand users.
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Martin, De Lagarde Cyril. "Promoting renewable energy : subsidies, diffusion, network pricing, and market impacts Drivers and diffusion of residential photovoltaics in France Network connection schemes for renewable energy: a spatial analysis." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLED076.

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Cette thèse s'intéresse à différents aspects relatifs à l'économie des énergies renouvelables (EnR) électriques. Celles-ci ont été choisies par de nombreux pays, désireux de réduire leur empreinte carbone, dans le cadre de la lutte contre le changement climatique.N'étant la plupart du temps pas compétitives face aux moyens de production conventionnels, les EnR nécessitent des subventions publiques, à la fois nationales et locales, pour être rentables. J'analyse l'efficacité de ces aides dans le cas du photovoltaïque chez les particuliers français, en tenant compte des phénomènes de communication, qui participent fortement à la diffusion. Je montre combien ces derniers peuvent être un levier supplémentaire dans le développement des EnR.Ensuite, j'étudie l'impact des schémas régionaux de raccordement au réseau des EnR, dans le cas de l'éolien terrestre en France. Ces schémas introduisent une différenciation spatiale des frais de raccordement. Cela permet de réorienter les investissements vers les régions dans lesquelles le réseau est moins contraint, ce que je quantifie.Les réseaux jouent également un rôle dans le développement des EnR via leur tarification. Celle-ci est essentielle dans le cas de l'autoconsommation, qui fait peser des risques sur l'équilibre budgétaire du gestionnaire de réseau. Ainsi, je détermine notamment les prix à l'optimum économique de second rang dans le cas d'un tarif binôme énergie-puissance.Enfin, j'analyse l'impact de la production renouvelable sur les prix de gros de l'électricité en Allemagne. Je montre que les EnR induisent une baisse des prix différenciée en fonction de l'équilibre offre-demande. Ceci pénalise les centrales de pointe nécessaires à la sécurité d'approvisionnement, ainsi que les EnR de demain, qui devront se passer de subventions
This thesis deals with several aspects of the economics of electric renewable energy sources (RES). These have been chosen by many countries, willing to reduce their carbon footprint, in order to fight climate change.As RES are usually not competitive against conventional power plants, they rely on national and local subsidies in order to be profitable. I analyse the efficiency of such support schemes in the case of solar photovoltaics for residential households in France. Communication phenomena also take a huge part in the diffusion process. My work shows in how far these are an additional driver of RES development.Then, I study the impact of regional network connection schemes for renewables in France, in the field of onshore wind energy. These schemes introduce a spatial differentiation of network connection charges. They enable to reallocate investments in regions in which the electricity network is less constrained, and I quantify this reallocation.Electricity networks also play a role in the development of RES through their tarification. The latter is fundamental in the case of self-consumption (or "prosumption"), that puts the budget balance of the network operator at risk. Thus, I derive second-best prices in the case of a two-part energy-capacity tariff.Finally, I analyse the impact of renewable generation on electricity wholesale prices in Germany. I show that RES induce a decrease in prices, which depends on the supply-demand equilibrium. This penalises peaking power plants that are necessary to the security of supply, as well as future renewables, which shall progressively become profitable without subsidies
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Lowrey, Craig. "Electricity pricing and regulation." Thesis, Brunel University, 1999. http://bura.brunel.ac.uk/handle/2438/7390.

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This work aims to assess the development of competition in the electricity industry of England and Wales, emphasising one of the key elements of the restructured industry, the pool - a centralised day ahead electricity spot market. The pool's structure is examined, along with the relationship that the pool has with the market for electricity forward contracts. However, the key to this work is the relationship between the major electricity generators and the industry's regulator. This is introduced through two theoretical models, and undertaken through a series of econometric models using pool prices, forward prices, electricity demand, and the sharep rices of the major generators: National Power and Powergen. The work tests the hypotheses put forward by Green( 1992) and Helm & Powell (1992) of an inverse relationship between the volume of output that a generator sells forward through contracts and the general level of pool prices. The break-up of the first and second sets of forward contracts - which expired in 1991 and 1993 - and their impact on pool prices are assessed By using the market model, this work examines the impact of a series of both regulatory and nonregulatory events on the share returns of National Power and Powergen. Given the existence of spot and forward markets for electricity, one would expect a relationship between the prices in these markets The relationship is examined for England and Wales by a synthetic data set that approximates the prices at which the contracts were sold. The relationship is then examined using actual and forecast electricity prices for California, this latter analysis forming part of an overview of electricity deregulation in America. Ultimately, this research hopes to add to the growing amount of material on energy privatisation - a topic that continues to promote interest and controversy in academic and industrial circles.
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Vamos, Eugene. "Long run electricity pricing in a deregulated competitive electricity market." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35461.

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Makawa-Mbewe, Patrick. "Rationalisation of electricity pricing in South Africa's electricity distribution industry." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51893.

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Thesis (MBA)--Stellenbosch University, 2000.
ENGLISH ABSTRACT: The South African Electricity Distribution Industry is riddled with tariffs. Every utility in South Africa probably uses some method for allocating cost, whether it is theoretically founded or not. There are currently over 2000 different tariffs in South Africa and the need for rationalisation has been widely recognised and acknowledged. Many of these tariffs have not been the outflow of accepted methodologies but rather a function of individual utility policy and practices. There is however a dire need to standardise such methodologies in the future. A standardised methodology might be the only way to eventually rationalise the thousands of tariffs that exist in the electricity industry. Government has emphasised the importance of tariffs to be cost reflective in the future. The only possible way to reach this objective would be to determine clear and concise methods of allocating cost that can be utilised by the entire industry. This study project describes a standardised methodology for determining the cost to supply different customer categories in an electricity distributor. The methodology offers enough flexibility not to bind any party into laboursome, complex and time consuming costing activities. It does however require that the costs of a distributor are carefully investigated and all functions performed in the utility are isolated. This is referred to as ringfencing of costs.
AFRIKAANSE OPSOMMING: Die Suid-Afrikaanse Elektrisiteitverspreidingsbedryf het veelvuldige tariewe. Elke utiliteit in Suid-Afrika gebruik waarskynlik 'n metode vir kostetoedeling, wat nie noodwendig teoreties gebaseer is nie. Huidiglik is daar meer as 2000 verskillende tariewe in Suid-Afrika en dit word alom besef en erken dat gronde vir rasionalisering bestaan. Baie van die tariewe het nie ontstaan uit die gebruik van aanvaarbare berekeningsmetodes nie, maar was eerder die gevolg van individuele beleid en praktyke van utiliteite. Daar is 'n dringende behoefte om hierdie berekeningsmetodes in die toekoms te standardiseer. 'n Standaard metode mag die enigste manier wees om uiteindelik die duisende tariewe wat in die elektrisiteitsbedryf bestaan te rasionaliseer. Die regering het die belangrikheid dat tariewe in die toekoms koste reflekterend moet wees benadruk. Die enigste moontlike manier om hierdie doelwit te bereik, is om helder en duidelike metodes vir koste toedeling te bepaal vir gebruik deur die hele bedryf. Hierdie verhandeling beskryf 'n standaard metodologie om die koste te bepaal om verskillende klantegroepe in 'n elektrisiteitsverspreider van krag te voorsien. Die metodologie bied voldoende plooibaarheid om geen party aan arbeidintensiewe, kompleks en tydrowende kostebepalings te verbind nie. Dit vereis egter dat die koste van 'n verspreider noukeurig ondersoek word en dat alle funksies wat verrig word uitgelig word. Hierna word verwys as afbakening van kostes.
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Aydin, Nadi Serhan. "Pricing Power Derivatives: Electricity Swing Options." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612122/index.pdf.

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The Swing options are the natural outcomes of the increasing uncertainty in the power markets, which came along with the deregulation process triggered by the UK government&rsquo
s action in 1990 to privatize the national electricity supply industry. Since then, the ways of handling the risks in the price generation process have been explored extensively. Producer-consumers of the power market felt confident as they were naturally hedged against the price fluctuations surrounding the large consumers. Companies with high power consumption liabilities on their books demanded tailored financial products that would shelter them from the upside risks while not preventing them from benefiting the low prices. Furthermore, more effective risk management practices are strongly dependent upon the successful parameterization of the underlying stochastic processes, which is also key to the effective pricing of derivatives traded in the market. In this thesis, we refer to the electricity spot price model developed jointly by Hambly, Howison and Kluge ([13]), which incorporates jumps and still maintains the analytical tractability. We also derive the forward curve dynamics implied by the spot price model and explore the effects on the forward curve dynamics of the spikes in spot price. As the main discussion of this thesis, the Grid Approach, which is a generalization of the Trinomial Forest Method, is applied to the electricity Swing options. We investigate the effects of spikes on the per right values of the Swing options with various number of exercise rights, as well as the sensitivities of the model-implied prices to several parameters.
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Hegazy, Youssef. "Reliability-based pricing of electricity service /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487841975356122.

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Books on the topic "Electricity network and pricing"

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Lévêque, François. Transport Pricing of Electricity Networks. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1.

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François, Lévêque, and France. Commission de régulation de l'électricité., eds. Transport pricing of electricity networks. Boston: Kluwer Academic Publishers, 2003.

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name, No. Transport pricing of electricity networks. Boston: Kluwer Academic, 2002.

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Huang, Jianwei, and Lin Gao. Wireless Network Pricing. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-79263-2.

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Faruqui, Ahmad, and B. Kelly Eakin, eds. Electricity Pricing in Transition. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0833-5.

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Schweppe, Fred C., Michael C. Caramanis, Richard D. Tabors, and Roger E. Bohn. Spot Pricing of Electricity. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1683-1.

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Turvey, Ralph. Inefficiencies in electricity pricing. London: Chartered Institute of Public Finance and Accountancy, 1997.

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Vogt, Lawrence J. Electricity pricing: Engineering methodologies. Boca Raton, FL: CRC Press, 2009.

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Ahmad, Faruqui, and Eakin Kelly, eds. Electricity pricing in transition. Boston: Kluwer Academic, 2002.

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Gupta, V. P. Electricity pricing in India. Jaipur: Printwell, 1996.

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Book chapters on the topic "Electricity network and pricing"

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Schweppe, Fred C., Michael C. Caramanis, Richard D. Tabors, and Roger E. Bohn. "Generation and Network." In Spot Pricing of Electricity, 151–76. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1683-1_7.

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Outhred, Hugh, and John Kaye. "Incorporating Network Effects in a Competitive Electricity Industry: An Australian Perspective." In Electricity Transmission Pricing and Technology, 207–27. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-010-0710-8_9.

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Outhred, Hugh, and John Kaye. "Incorporating Network Effects in a Competitive Electricity Industry: An Australian Perspective." In Electricity Transmission Pricing and Technology, 207–27. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1804-7_9.

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Lévêque, François. "Legal Constraints and Economic Principles." In Transport Pricing of Electricity Networks, 3–33. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_1.

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Curien, Nicolas. "Cost Calculation." In Transport Pricing of Electricity Networks, 35–72. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_2.

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Curien, Nicolas. "Cost Allocation Methods." In Transport Pricing of Electricity Networks, 73–101. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_3.

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Crampes, Claude. "Cost Recovery and Short-Run Efficiency." In Transport Pricing of Electricity Networks, 105–35. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_4.

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Green, Richard. "Cost Recovery and the Efficient Development of the Grid." In Transport Pricing of Electricity Networks, 137–53. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_5.

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Perrot, Anne. "Tariffs and Imperfect Competition." In Transport Pricing of Electricity Networks, 155–72. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_6.

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Pérez-Arriaga, Ignacio J., and Yves Smeers. "Guidelines on Tariff Setting." In Transport Pricing of Electricity Networks, 175–203. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_7.

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Conference papers on the topic "Electricity network and pricing"

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Tushar, Mosaddek Hossain Kamal, and Chadi Assi. "Optimal electricity pricing in a microgrid network." In 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2016. http://dx.doi.org/10.1109/tdc.2016.7519876.

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Colebourn, H., and C. Amos. "Efficient pricing of network infrastructure." In 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20051436.

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Apolinario, I., C. Correia De Barros, H. Coutinho, L. Ferreira, B. Madeira, P. Oliveira, A. Trindade, and P. Verdelho. "Efficient pricing on distribution network tariffs." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1082.

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Cohen, R. "The regulation of electricity transmission." In IEE Colloquium on Network Pricing, Investment and Access: A Review of International Experiences. IEE, 1995. http://dx.doi.org/10.1049/ic:19951033.

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Hui Yi Heng and Furong Li. "Long-run incremental cost pricing for distribution network different circuit growth rate." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1080.

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Mouftah, Hussein T., and Burak Kantarci. "Optical inter-data-center network design under resilience requirements and dynamic electricity pricing." In 2014 16th International Conference on Transparent Optical Networks (ICTON). IEEE, 2014. http://dx.doi.org/10.1109/icton.2014.6876388.

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Unsihuay-Vila, Clodomiro, Luis Olmos, and Ignacio J. Perez-Arriaga. "Transferring transmission pricing principles from electricity to natural gas." In 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA 2008). IEEE, 2008. http://dx.doi.org/10.1109/infra.2008.5439606.

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Holtschneider, T., and I. Erlich. "Optimization of electricity pricing considering neural network based model of consumers' demand response." In 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG). IEEE, 2013. http://dx.doi.org/10.1109/ciasg.2013.6611512.

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Kumar, Rajender, and Ashwani Kumar. "Real and Reactive Power Pricing with Hydro Condenser in Pool Based Electricity Market Model." In 2015 Fifth International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2015. http://dx.doi.org/10.1109/csnt.2015.54.

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Strbac, G., J. Mutale, and D. Pudjianto. "Methodology for pricing of distribution networks with distributed generation." In 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20051439.

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Reports on the topic "Electricity network and pricing"

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Peng, Donna, and Rahmatallah Poudineh. Sustainable electricity pricing for Tanzania. Oxford Institute for Energy Studies, July 2016. http://dx.doi.org/10.26889/9781784670610.

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Spurlock, C. Anna. Loss Aversion and Time-Differentiated Electricity Pricing. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1248927.

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Kim, T., D. Lee, J. Choi, A. Spurlock, A. Sim, A. Todd, and K. Wu. Predicting Baseline for Analysis of Electricity Pricing. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1398400.

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Davis, Steven, Cheryl Grim, John Haltiwanger, and Mary Streitwieser. Electricity Pricing to U.S. Manufacturing Plants, 1963-2000. Cambridge, MA: National Bureau of Economic Research, February 2008. http://dx.doi.org/10.3386/w13778.

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Borenstein, Severin. The Redistributional Impact of Non-linear Electricity Pricing. Cambridge, MA: National Bureau of Economic Research, March 2010. http://dx.doi.org/10.3386/w15822.

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Borenstein, Severin. Wealth Transfers from Implementing Real-Time Retail Electricity Pricing. Cambridge, MA: National Bureau of Economic Research, September 2005. http://dx.doi.org/10.3386/w11594.

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Borenstein, Severin, and Ryan Kellogg. Carbon Pricing, Clean Electricity Standards, and Clean Electricity Subsidies on the Path to Zero Emissions. Cambridge, MA: National Bureau of Economic Research, July 2022. http://dx.doi.org/10.3386/w30263.

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Hill, L. J. Electricity pricing in Korea: A study of pricing initiatives as positive contributors to the development process. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6155547.

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Borenstein, Severin. Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing. Cambridge, MA: National Bureau of Economic Research, May 2012. http://dx.doi.org/10.3386/w18037.

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Davis, Trevor, Mark Thurber, and Frank Wolak. An Experimental Comparison of Carbon Pricing Under Uncertainty in Electricity Markets. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27260.

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