Academic literature on the topic 'Electrical market'
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Journal articles on the topic "Electrical market"
Bobarykina, Elena Nikolaevna, and Viacheslav Aleksandrovich Khokhlov. "FACTORS OF FORMATION AND DEVELOPMENT TRENDS OF THE LOCAL RUSSIAN MARKET OF ELECTRICAL PRODUCTS." Scientific Bulletin: finance, banking, investment., no. 3 (52) (2021): 130–40. http://dx.doi.org/10.37279/2312-5330-2020-3-130-140.
Full textGadge, Pramod, and Prakash Burade. "Optimal Spot Pricing Evaluation in Restructured Electrical Power System." International Journal of Electrical and Electronics Research 10, no. 4 (December 30, 2022): 1021–26. http://dx.doi.org/10.37391/ijeer.100444.
Full textAVERIKHINA, Tetiana, Maryna BURIACHENKO, and Valeriia VASYLIEVA. "Modern trends of the world market of electrical equipment." Economics. Finances. Law, no. 6/1 (June 30, 2021): 5–9. http://dx.doi.org/10.37634/efp.2021.6(1).1.
Full textLangston, Lee S. "Plowing New Ground." Mechanical Engineering 131, no. 05 (May 1, 2009): 40–44. http://dx.doi.org/10.1115/1.2009-may-5.
Full textMangkara, Sessario Bayu, Hayati Sari Hasibuan, and Ellyna Chairani. "Using life cycle inventory to improve the sustainability of traditional market management: a case study in Pandansari Market Balikpapan and Ibuh Market Payakumbuh." E3S Web of Conferences 74 (2018): 11001. http://dx.doi.org/10.1051/e3sconf/20187411001.
Full textTedmon, C. S., and A. Roeder. "Technologies for the future global electrical power market—impact of deregulated markets." Electricity Journal 8, no. 10 (December 1995): 60–64. http://dx.doi.org/10.1016/1040-6190(95)90144-2.
Full textIvan Rajšl, Slavko Krajcar, and Krešimir Krpan. "APPLICATION OF MULTI-AGENT SYSTEMS IN ELECTRICITY MARKET SIMULATORS." Journal of Energy - Energija 56, no. 6 (November 22, 2022): 642–75. http://dx.doi.org/10.37798/2007566371.
Full textLangston, Lee S. "Clear Skies Ahead." Mechanical Engineering 138, no. 06 (June 1, 2016): 38–43. http://dx.doi.org/10.1115/1.2016-jun-3.
Full textLatyshev, Kostiantyn, Kateryna Pryakhina, and Oksana Zbyrannyk. "MARKETING ANALYSIS OF THE MARKET FOR ELECTRICAL ENGINEERING PRODUCTS." Transactions of Kremenchuk Mykhailo Ostrohradskyi National University, no. 4(129) (August 23, 2021): 61–66. http://dx.doi.org/10.30929/1995-0519.2021.4.61-66.
Full textDenton, Michael J., Stephen J. Rassenti, Vernon L. Smith, and Steven R. Backerman. "Market power in a deregulated electrical industry." Decision Support Systems 30, no. 3 (January 2001): 357–81. http://dx.doi.org/10.1016/s0167-9236(00)00111-1.
Full textDissertations / Theses on the topic "Electrical market"
Das, Sanmay. "Intelligent Market-Making in Artificial Financial Markets." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/5570.
Full textSZCZERBACKI, CAROLINA FERREIRA. "ELECTRICAL ENERGY PRICE STRUCTURING FOR THE BRAZILIAN MARKET." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10656@1.
Full textOs preços de energia elétrica, insumo básico para todo o Modelo Setorial, constituem uma das maiores incertezas do setor. Estas incertezas abrangem todos os elementos formadores de preços: a oferta, a demanda e as regras de mercado, tornando muitas vezes difícil ao agente a avaliação concreta e precisa do processo da formação de preços e do impacto que a variação de um dos elementos do processo produz no resultado final. O objetivo deste trabalho é apresentar a estrutura de formação de preços no mercado energético brasileiro de forma sistematizada, avaliando a composição das variáveis que afetam esta estrutura: a demanda por consumo, a expansão do sistema e as disponibilidades energéticas. O mercado é modelado em todos os seus detalhes físicos, e o cálculo é realizado a partir de todo o arcabouço regulatório, incluindo a reprodução do modelo de operação ótima responsável pelos preços de energia. Descreve-se inicialmente um modelo de previsão de demanda por subsistema, utilizando-se técnicas de Teoria de Análise Funcional. Focaliza-se em seguida o suprimento futuro de energia no país a partir da expansão da oferta. Finalmente, utiliza-se uma simulação da operação ótima do sistema a partir da reprodução dos resultados do modelo utilizado no setor - o Newave - a partir de uma implementação própria desenvolvida especialmente no escopo deste trabalho. De posse dos possíveis cenários futuros, pode-se mensurar o impacto que a variação de cada elemento formador (demanda, expansão e afluências) tem sobre os custos de energia. É possível observar que as incertezas nestas variáveis podem gerar grandes impactos nos custos marginais e, conseqüentemente, nos custos futuros de energia elétrica.
Energy Prices, essential input for the Sectorial Model, consist on the biggest uncertainties of the Electric Sector. These uncertainties enclose all price elements: the supply, the demand and the market rules, making sometimes difficult for the agents to evaluate the price process and the impact that the variation of each process element can produce on the result. The objective is to present Brazilian price process in a structuralized way, evaluating the variables composition that affects this structure: the demand, the electric system expansion and the energy supply availability. The market is modeled in all its physical details, and the calculation is done into the regulatory environment, including a reproduction of the optimal operation model responsible for energy prices. First, a demand forecast model is described, based on Functional Analysis Theory. Then, the focus is on the energy future supply, analyzing the supply expansion in Brazil. Finally, an optimal operation system is simulated, reproducing the sector model (Newave) results from an implementation developed in this work. From these possible future settings, each element (demand, expansion and energy supply availability) variation impact on energy prices can be measured. The simulations show that uncertainties about these variables can have big impacts on marginal costs and, consequently, on the energy future prices.
Aloysius, Romila Mariette. "Market Analysis of Cardiac Electrical Mapping Platform in the Cardiac Resynchronization Therapy Market." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1363099595.
Full textTuran, Ali. "The Turan Electric Company - the leader of the turkish market of energy and electrical products." Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/6676.
Full textNing, Zihan. "ELECTRICITY MARKET SIMULATOR." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1480695981422754.
Full textBouffard, François. "Electricity market-clearing with stochastic security." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100326.
Full textWe derive theoretical results pertaining to the prices of energy and security corresponding to the optimal schedules of the market-clearing process. The key result of this analysis establishes that involuntary load shedding is used after a contingency if and only if the expected marginal costs of scheduling reserves and deploying them are greater than the expected marginal costs of load shedding.
We then extend the model of electricity market-clearing with stochastic security by proposing a short-term electricity market-clearing formulation capable of accounting for non-dispatchable and intermittent power generation sources like wind power. We show how the electricity market-clearing model can take into account uncertainties in the next day/hours wind power generation predictions as well as those of the demand. Also, We demonstrate how the market-clearing formulation can integrate the scheduling of a large-scale centralized energy storage infrastructure.
Finally we define rigorously the concept of the set of umbrella, contingencies for security-constrained optimal power flow problems, a class of power system scheduling problems to which market-clearing with stochastic: security belongs. We propose an identification method to identify the members of this set by making use of the vector norms of the Lagrange multipliers associated with the post-contingency power balance relations. We suggest a heuristic contingency ranking rule based on those vector norms, and we argue that, the proposed identification rule and ranking method can be of use to system operators when specifying reduced sets of contingencies for security-constrained market-clearing problems.
Peng, Tengshun. "Bidding strategy and empirical analysis of bidding in electrical power market." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Spring2006/t%5Fpeng%5F011406.pdf.
Full textWesterström, Erik. "Barriers to blockchain adoption in the public electrical vehicle charging market." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20139.
Full textFeijer, Diego (Diego Francisco Feijer Rovira). "Financial market failures and systemic crises." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101570.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 97-103).
This thesis contributes to the theoretical literature that studies the macroeconomic implications of financial frictions. It develops frameworks to address different financial market failures, and evaluate preventive policies to mitigate the vulnerability of the economy to costly systemic crises. First, it identifies a credit risk (fire sale) externality that justifies the macroprudential regulation of short-term debt to mitigate the probability of systemic bank runs. Without regulation, banks do not internalize how their funding decisions affects the terms at which other market participants can obtain credit. The formal welfare study conducted, provides a general equilibrium notion of systemic risk that captures both fundamental insolvency and illiquidity risk. It also connects this measure with the optimal Pigouvian (corrective) tax. Second, it shows that liquidity crises may arise as the result of endogenous information panics. It finds that collective ignorance is welfare maximizing but it is fragile, susceptible to self-fulfilling fears about asymmetric information. Adverse selection may thus obtain in equilibrium, sustained by negative aggregate expectations. The mechanism that gives rise to multiple equilibria is robust to the introduction of noisy private signals, and warrants the regulation of information acquisition for rent-seeking (speculative) motives. Finally, it demonstrates the limitations of unconventional credit easing policies to stimulate lending during market-freezes. With inter-temporal investment complementarities, credit to non-financial firms may be curtailed as the result of dynamic coordination failures. Interest rate cuts mitigate coordination risk, but increase the average duration of credit market freezes when the productivity of capital is high. Capital injections in the banking sector, or direct lending to non-financial firms, are completely ineffective, because reductions in deposits from households crowd out government spending. In contrast, government guarantees improve welfare by reducing strategic uncertainty.
by Diego Feijer.
Ph. D.
Meng, Xianglin S. M. Massachusetts Institute of Technology. "Systemic risk in the interbank lending market." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117814.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 77-81).
Our goal is to understand the functioning of the interbank lending market in times of market stress. Working towards this goal, we conduct theoretical analysis and simulation to study the effects of network structure and shock scenarios on systemic risk in the market. We consider shocks of various sizes at both global and local scales. In terms of risk measures, we study relative systemic loss and the default rate, separating the latter quantity into fundamental default and contagion. Our simulations suggest that all systemic risk measures are similar on the well-studied directed Erdős-Rényi model and the more complex fitness model if we match the mean density and the mean edge weight of these two models. We show through both derivations and simulations that the network size has little effect on systemic risk when the network is sufficiently large. Moreover, as the mean degree grows, the different default rates considered all increase, while relative systemic loss decreases. Furthermore, simulations suggest that local shocks tend to cause more harm than global shocks of the same total size. We also derive upper and lower bounds on a bank's probability of default, only using its neighbors' information. For implementation, we build a method for real-time, automatic, interpretable assessment of financial systemic risk, which only requires temporal snapshots of observable data. Our algorithm takes in partial data, inferring a random graph model, and then generates empirical distributions for risk measures. The first part relies on inferring a fitness model that is compatible with observed information. For the second part, we use simulations to obtain empirical distributions for systemic risk that arises from interbank clearing. We test our method on synthetic data and apply it to the federal funds market using empirical data. Our method is fast enough to be incorporated into algorithms that produce intraday time trajectories of risk prediction. The data requirement is practical for investors as well as regulators, policy-makers, and financial institutions.
by Xianglin Meng.
S.M.
Books on the topic "Electrical market"
Gainer, Kevin. World electrical power activities: Highlighting mini reports by country. Norwalk, CT: Business Communications Co., 1997.
Find full textJames P. Smith - undifferentiated. Electrical and magnetic neurostimulation: Applications, technologies, and market potential. New York: Kalorama Information, 2004.
Find full textBabington, Mary F., Matthew A. Carle, and Eric A. Neumore. Private companies in automotive electrical products. Cleveland: Freedonia Group, 1999.
Find full textDevelopment, Market and Business. The UK mechanical and electrical contracting market development: Quarter Four 1999. Manchester: Market and Business Development, 1999.
Find full textMarwick, Groupe Conseil Peat. Studies in Canadian export opportunities in the U.S. Market: Electrical equipment. Ottawa, Ont: Dept. of External Affairs = Ministère des affaires extérieures, 1989.
Find full textDoyle, P. The future of UK electrical goods retailing: Current trends and market expectations. Coventry: University of Warwick Marketing Strategy and Development Unit, 1987.
Find full textDenryoku kaikaku to Dokusen kinshihō, kyōsō seisaku: Electricity market reform and Competition policy. Tōkyō-to Chiyoda-ku: Yūhikaku, 2014.
Find full textTripartite Meeting on the Impact of Flexible Labour Market Arrangements in the Machinery, Electrical and Electronic Industries (1998 Geneva, Switzerland). Impact of flexible labour market arrangements in the machinery, electrical and electronic industries. Geneva: International Labour Organization, 1998.
Find full textPayne, Hilary. Approaching home automation. Menlo Park, CA (333 Ravenswood Ave., Menlo Park 94025-3476): SRI International, Business Intelligence Program, 1990.
Find full textMironova, Nina, and Inna Sebedash. 100 vedushchikh kompaniĭ na rossiĭskom rynke ėlektrotekhnicheskoĭ produkt︠s︡ii: Katalog = 100 leading companies of Russian electrical engineering products market : catalogue. Moskva: In-t promyshlennogo razvitii︠a︡ (Informėlektro), 1997.
Find full textBook chapters on the topic "Electrical market"
Niu, Yongge, and Fumin Deng. "Market Entry Barriers in China’s Industrial Markets." In Lecture Notes in Electrical Engineering, 1487–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40081-0_127.
Full textLiu, Zhiliang, Jinlong Zhang, and Lingfei Zou. "Comparative Study of Market Inefficiency on the Sino-U.S. Stock Markets." In Lecture Notes in Electrical Engineering, 219–25. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4600-1_18.
Full textYi, Ronghua, and Yangbin Zhang. "Comparative Study of Market Inefficiency on the Sino-U.S. Stock Markets." In Lecture Notes in Electrical Engineering, 227–36. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4600-1_19.
Full textPrabhakar Karthikeyan, S., I. Jacob Raglend, K. Sathish Kumar, Sarat Kumar Sahoo, and B. Priya Esther. "Application of SVM as Classifier in Estimating Market Power Under Deregulated Electricity Market." In Lecture Notes in Electrical Engineering, 1309–17. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_127.
Full textPrabhakar Karthikeyan, S., I. Jacob Raglend, D. P. Kothari, Sarat Kumar Sahoo, and K. Sathish Kumar. "A Comparison of NMRS with Other Market Power Indices in Deregulated Electricity Market." In Lecture Notes in Electrical Engineering, 409–28. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2141-8_35.
Full textRajasekhar, G. V., and P. Surekha. "A Study on Congestion Effect on Locational Market Price for Profit Market Strategies." In Lecture Notes in Electrical Engineering, 1103–16. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9019-1_91.
Full textZheng, Yong, and Rui Gong. "Market Reaction to Repurchase Announcement-A Study for UK 2010–2011 Stock Market Reaction." In Lecture Notes in Electrical Engineering, 1051–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40081-0_89.
Full textHeistrene, Leena, Poonam Mishra, and Makarand Lokhande. "Recourse-based Stochastic Market Clearing Algorithm." In Lecture Notes in Electrical Engineering, 65–73. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0206-4_6.
Full textLu, Ying, Bin Dun, Feng Chen, and Ming Lu. "Study on Internet Drug Market Access Management." In Lecture Notes in Electrical Engineering, 1463–69. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1839-5_157.
Full textRaju, I. Venkat Appal. "A Defaultable Financial Market with Complete Information." In Lecture Notes in Electrical Engineering, 319–33. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2141-8_28.
Full textConference papers on the topic "Electrical market"
Han, Shiqi, Fengquan Jia, and Peng Wang. "Coupling Mechanism of Electricity Market and Water Market." In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021. http://dx.doi.org/10.1109/cieec50170.2021.9510950.
Full textYao, Li, Jiangtao Li, Jinhui Duan, and Xiandong Tan. "Revisit the Mechanism of Integrated Electricity Market: Bridging Day-ahead Market and Balancing Market." In 2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2021. http://dx.doi.org/10.1109/ceepe51765.2021.9475808.
Full textNeidhart, Herman A. "Small motor market trends." In 1985 EIC 17th Electrical/Electronics Insulation Conference. IEEE, 1985. http://dx.doi.org/10.1109/eic.1985.7458597.
Full textDiaz, L. Ruiz, J. M. Rovira, and D. Colombo. "Service Quality in the Argentine Electrical Market." In Latin American/Caribbean Gas & Electricity Congress. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/38204-ms.
Full textTereschenko, Tetyana, Julia Yamnenko, Liubov Klepach, and Valeriia Peterheria. "Aspects of virtual market of electrical energy." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477215.
Full textJi, Yang, Weixin Zhang, Bin Liang, Zhenxiang Li, Xiaofang Chen, Jimeng Wang, and Ziyi Liu. "Distributed Photovoltaic Market Demand Analysis Based on Market Segmentation Theory." In 2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE). IEEE, 2021. http://dx.doi.org/10.1109/ciycee53554.2021.9676827.
Full textMu, Chunfeng, Yuhui Xing, Fan Zhang, Gaoquan Ma, Qinggui Chen, Xiangrui Liu, and Dongyuan Yang. "The coordination mechanism of forward market and spot market under the cost-based electricity market model for Yunnan." In 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2021. http://dx.doi.org/10.1109/acpee51499.2021.9436963.
Full textZhu, Shu-Zhen, Jin Wu, and Zhi-Peng Li. "Research on The Volatility Spillover Effect among Foreign Exchange Market Stock Market and Bond Market in China." In ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3386415.3386951.
Full textJin, Jiajie, Shaohua Zhang, Xian Wang, and Jingjie Ma. "Joint Equilibrium Analysis of Wholesale Electricity Market and Energy Storage Trading Market." In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021. http://dx.doi.org/10.1109/cieec50170.2021.9510367.
Full textSu, Changsheng, Yiqian Sun, Chenglei Zuo, Maoqian Wu, Chao Yang, Siwen Zhang, Chunyan Wu, Kai He, Yuguo Chen, and Yang Wang. "Research on Electricity Market System and Market Coordination Mechanism of Xinjiang." In ICITEE2021: The 4th International Conference on Information Technologies and Electrical Engineering. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3513142.3513182.
Full textReports on the topic "Electrical market"
Taft, Jeffrey. Electric Grid Market-Control Structure. Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1644691.
Full textBush, B., M. Melaina, M. Penev, and W. Daniel. SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1330991.
Full textHadley, S. W., and E. L. Hillsman. Electric retail market options: The customer perspective. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/92067.
Full textHirst, E. Electric-utility DSM programs in a competitive market. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10145188.
Full textJiang, Yuxiang. Unsettled Technology Areas in Electric Propulsion Systems. SAE International, May 2021. http://dx.doi.org/10.4271/epr2021012.
Full textNone, None. United States industrial electric motor systems market opportunities assessment. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/1215858.
Full textSarofim, Samer, and Aly Tawfik. Developing a Feasible Business Model for Expanding the EV Market to Lower Income Californians. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2021.2026.
Full textSarofim, Samer, and Aly Tawfik. Developing a Feasible Business Model for Expanding the EV Market to Lower Income Californians. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.2026.
Full textHill, L. J. Economic-efficiency considerations in restructuring electric markets. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/454007.
Full textJohra, Hicham. Performance overview of caloric heat pumps: magnetocaloric, elastocaloric, electrocaloric and barocaloric systems. Department of the Built Environment, Aalborg University, January 2022. http://dx.doi.org/10.54337/aau467469997.
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