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Готові списки джерел за темами / Electricity markets simulation

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Добірка наукової літератури з теми "Electricity markets simulation"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "Electricity markets simulation"

1

Foti, Magda, and Manolis Vavalis. "Intelligent Bidding in Smart Electricity Markets." International Journal of Monitoring and Surveillance Technologies Research 3, no. 3 (2015): 68–90. http://dx.doi.org/10.4018/ijmstr.2015070104.

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This paper has two aims. Firstly, to briefly present overall objectives and expected outcome of an on-going effort concerning design, implementation and the analysis of next generation energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the associated experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on

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2

Ngujen Tat, Andrejus. "Electricity Price Forecasting Using Monte Carlo Simulation: The Case of Lithuania." Ekonomika 97, no. 1 (2018): 76–86. http://dx.doi.org/10.15388/ekon.2018.1.11780.

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The main purpose of this article is to determine the practical use of the Monte Carlo simulations in electricity markets for forecasting future prices. First, we review the structure of the electricity markets – how they work, what implications do they have and how they’ve evolved during the last decades. Second, we discover that there are only few researches that have been made on this topic as well as there haven’t being made any researches regarding the Lithuanian electricity market. Then, we will carry out an analysis on how to use a Monte Carlo simulation approach in electricity markets.

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3

Vale, Zita, Tiago Pinto, Isabel Praca, and Hugo Morais. "MASCEM: Electricity Markets Simulation with Strategic Agents." IEEE Intelligent Systems 26, no. 2 (2011): 9–17. http://dx.doi.org/10.1109/mis.2011.3.

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4

Mello, João, Cristina de de Lorenzo, Fco Alberto Campos, and José Villar. "Pricing and Simulating Energy Transactions in Energy Communities." Energies 16, no. 4 (2023): 1949. http://dx.doi.org/10.3390/en16041949.

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Анотація:

Extensive literature is available for modeling and simulating local electricity markets, often called P2P electricity markets, and for pricing local energy transactions in energy communities. Market models and pricing mechanisms provide simulation tools to better understand how these new markets behave, helping to design their main rules for real applications, and assessing the financial compensations of the internal energy transactions. As such, pricing mechanisms are often needed in energy management systems when centralized management approaches are preferred to market-based ones. First, th

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5

Morais, Hugo, Tiago Pinto, and Zita Vale. "Adjacent Markets Influence Over Electricity Trading—Iberian Benchmark Study." Energies 13, no. 11 (2020): 2808. http://dx.doi.org/10.3390/en13112808.

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This paper presents a study on the impact of adjacent markets on the electricity market, realizing the advantages of acting in several different markets. The increased use of renewable primary sources to generate electricity and new usages of electricity such as electric mobility are contributing to a better and more rational way of living. The investment in renewable technologies for the distributed generation has been creating new opportunities for owners of such technologies. Besides the selling of electricity and related services (ancillary services) in energy markets, players can particip

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6

Banal-Estañol, Albert, and Augusto Rupérez Micola. "Behavioural simulations in spot electricity markets." European Journal of Operational Research 214, no. 1 (2011): 147–59. http://dx.doi.org/10.1016/j.ejor.2011.03.041.

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7

Francisco, Silva, Teixeira Brígida, Pinto Tiago, Santos Gabriel, Vale Zita, and Praça Isabel. "Generation of Realistic Scenarios for Multi-Agent Simulation of Electricity Markets." Energy 116, Part 1, no. 1 December 2016 (2016): 128–39. https://doi.org/10.1016/j.energy.2016.09.096.

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Анотація:

Most market operators provide daily data on several market processes, including the results of all market transactions. The use of such data by electricity market simulators is essential for simulations quality, enabling the modelling of market behaviour in a much more realistic and efficient way. RealScen (Realistic Scenarios Generator) is a tool that creates realistic scenarios according to the purpose of the simulation: representing reality as it is, or on a smaller scale but still as representative as possible. This paper presents a novel methodology that enables RealScen to collect real e

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8

Hamagami, Tomoki. "Using Intelligent System Approaches for Simulation of Electricity Markets." IEEJ Transactions on Electronics, Information and Systems 126, no. 2 (2006): 156–60. http://dx.doi.org/10.1541/ieejeiss.126.156.

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9

Xavier, Edgar B., David A. V. Goncalves, Bruno H. Dias, and Bruno S. M. C. Borba. "Electricity Auction Simulation Platform for Learning Competitive Energy Markets." IEEE Potentials 36, no. 5 (2017): 32–36. http://dx.doi.org/10.1109/mpot.2016.2563179.

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10

Praça, I., C. Ramos, Z. Vale, and M. Cordeiro. "Intelligent Agents for the Simulation of Competitive Electricity Markets." International Journal of Modelling and Simulation 24, no. 2 (2004): 73–79. http://dx.doi.org/10.1080/02286203.2004.11442289.

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Дисертації з теми "Electricity markets simulation"

1

林霙芝 and Ying-chi Lam. "Agent-based simulation of electricity markets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31222882.

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2

Lam, Ying-chi. "Agent-based simulation of electricity markets /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21482391.

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3

Amelin, Mikael. "On Monte Carlo simulation and analysis of electricity markets." Doctoral thesis, KTH, Elektrotekniska system, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-26.

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Анотація:

This dissertation is about how Monte Carlo simulation can be used to analyse electricity markets. There are a wide range of applications for simulation; for example, players in the electricity market can use simulation to decide whether or not an investment can be expected to be profitable, and authorities can by means of simulation find out which consequences a certain market design can be expected to have on electricity prices, environmental impact, etc. In the first part of the dissertation, the focus is which electricity market models are suitable for Monte Carlo simulation. The starting p

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4

De, Oliveira Fernando Manuel Soares Mota Siciliani. "Simulation of electricity markets using agent-based computational learning." Thesis, London Business School (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408444.

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5

Nguyen, Duy Huu Manh. "Analysing electricity markets with evolutionary computation." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2002. http://theses.library.uwa.edu.au/adt-WU2003.0018.

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Анотація:

The use of electricity in 21st century living has been firmly established throughout most of the world, correspondingly the infrastructure for production and delivery of electricity to consumers has matured and stabilised. However, due to recent technical and environmental–political developments, the electricity infrastructure worldwide is undergoing major restructuring. The forces driving this reorganisation are a complex interplay of technical, environmental, economic and political factors. The general trend of the reorganisation is a dis–aggregation of the previously integrated functions of

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6

Ono, Teruo S. M. Massachusetts Institute of Technology. "Game theoretic analysis and agent-based simulation of electricity markets." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33857.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 91-92).<br>In power system analysis, uncertainties in the supplier side are often difficult to estimate and have a substantial impact on the result of the analysis. This thesis includes preliminary work to approach the difficulties. In the first part, a specific electricity auction mechanism based on a Japanese power market is investigated analytically from several game theoretic viewpoints. In the second part, electricity auctions are sim

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7

Cumperayot, Pariya. "Effects of modeling accuracy on the system marginal costs simulation in deregulated electricity markets /." Aachen : Klinkenberg, 2004. http://www.gbv.de/dms/zbw/391837419.pdf.

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8

Helman, E. Udi. "Oligopolistic competition in wholesale electricity markets large-scale simulation and policy analysis using complementarity models /." Available to US Hopkins community, 2003. http://wwwlib.umi.com/dissertations/dlnow/3080675.

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9

Widha, Kusumaningdyah. "A Simulation-Based Design and Evaluation Framework for Energy Product-Service System in Liberalized Electricity Markets." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263755.

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京都大学<br>新制・課程博士<br>博士(エネルギー科学)<br>甲第23294号<br>エネ博第419号<br>京都大学大学院エネルギー科学研究科エネルギー社会・環境科学専攻<br>(主査)教授手塚哲央, 教授宇根﨑博信, 准教授 MCLELLAN Benjamin<br>学位規則第4条第1項該当<br>Doctor of Energy Science<br>Kyoto University<br>DFAM

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10

Imran, Kashif. "Agent based modelling and simulation of operating strategies of generators and loads in wholesale electricity markets." Thesis, University of Strathclyde, 2015. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25991.

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Книги з теми "Electricity markets simulation"

1

Lopes, Fernando, and Helder Coelho, eds. Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74263-2.

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2

Coelho, Helder, and Fernando Lopes. Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. Springer, 2019.

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3

Coelho, Helder, and Fernando Lopes. Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. Springer, 2018.

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Частини книг з теми "Electricity markets simulation"

1

Muckelroy, Lance S. "Electric Market Simulation." In Pricing in Competitive Electricity Markets. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4529-3_13.

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2

Vale, Zita A., Hugo Morais, Tiago Pinto, Isabel Praça, and Carlos Ramos. "Electricity Markets Simulation: MASCEM Contributions to the Challenging Reality." In Energy Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23193-3_7.

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3

Lopes, Fernando. "MATREM: An Agent-Based Simulation Tool for Electricity Markets." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74263-2_8.

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4

Fu, Xinhua, Chen Zhao, Shaohua Zhang, and Xian Wang. "Modeling and Simulation of Electricity Markets under Different Environmental Policies." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34396-4_5.

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5

Guerci, Eric, Mohammad Ali Rastegar, and Silvano Cincotti. "Agent-based Modeling and Simulation of Competitive Wholesale Electricity Markets." In Handbook of Power Systems II. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12686-4_9.

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6

Santos, Gabriel, Tiago Pinto, Isabel Praça, and Zita Vale. "Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM." In Progress in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65340-2_24.

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7

Silva, Francisco, Brígida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, and Zita Vale. "Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation." In Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18944-4_36.

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8

Lopes, Fernando, Hugo Algarvio, and João Santana. "Agent-Based Simulation of Electricity Markets: Risk Management and Contracts for Difference." In Understanding Complex Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46331-5_10.

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9

Barquín, Julián, Javier Reneses, Efraim Centeno, Pablo Dueñas, Félix Fernández, and Miguel Vázquez. "An Optimization-Based Conjectured Response Approach to Medium-term Electricity Markets Simulation." In Handbook of Power Systems II. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12686-4_13.

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10

Pinto, Tiago, Zita Vale, Isabel Praça, Luis Gomes, and Pedro Faria. "Multi-agent Electricity Markets and Smart Grids Simulation with Connection to Real Physical Resources." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74263-2_11.

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Тези доповідей конференцій з теми "Electricity markets simulation"

1

Gupta, Meenakshi, Anuj Jain, and Vikram Kumar. "Optimizing Profit-Driven Unit Commitment in Dynamic Electricity Markets: A Focus on Electric Vehicles and Renewable Energy Integration." In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO). IEEE, 2024. http://dx.doi.org/10.1109/iccmso61761.2024.00025.

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2

Wang, Ruichen, Zishi Wang, Jifei Wang, Gaoquan Ma, and Yi Wang. "A Joint Simulation Model for Multi-Level Electricity Markets Considering Both Medium- and Long-Term Trading and Spot Trading." In 2024 3rd Asian Conference on Frontiers of Power and Energy (ACFPE). IEEE, 2024. https://doi.org/10.1109/acfpe63443.2024.10801123.

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3

Phyo, Pyae P., Koen Kok, and Nikolaos G. Paterakis. "Synthetic Dataset Generation for an Electricity Market Simulation Game." In 2024 International Conference on Smart Energy Systems and Technologies (SEST). IEEE, 2024. http://dx.doi.org/10.1109/sest61601.2024.10694470.

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4

Selçuklu, Saltuk Buğra, Erdemhan Özdin, Erhan Muğaloğlu, et al. "A Novel Agent-Based Simulation Model for Analyzing Electricity Market Dynamics." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050199.

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5

Miskiw, Kim K., and Philipp Staudt. "Explainable Deep Reinforcement Learning for Multi-Agent Electricity Market Simulations." In 2024 20th International Conference on the European Energy Market (EEM). IEEE, 2024. http://dx.doi.org/10.1109/eem60825.2024.10608907.

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6

Li, Chaoying, and Yun Zhou. "Long-cycle Electricity Market Simulation Study of Power Planning for Multiple Power Source Varieties in Electricity Market Environment." In 2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2024. https://doi.org/10.1109/icpsasia61913.2024.10761848.

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7

Liu, Tao, Xialing Xu, Xiaogang Xiao, Wenjuan Yu, Junxuan Zou, and Yuxin Zhang. "Simulation Analysis of Inter-Provincial Electricity Market for Surplus Renewable Energy in Central China under Regional Electricity Market Environment." In 2024 5th International Conference on Clean Energy and Electric Power Engineering (ICCEPE). IEEE, 2024. https://doi.org/10.1109/iccepe62686.2024.10931646.

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8

Zhou, Zhi, Wai Kin Victor Chan, Joe H. Chow, and Serhiy Kotsan. "Duopoly electricity markets with accurate and inaccurate market goals." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429264.

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9

Pozzetti, L., and J. Cartlidge. "Trading electricity markets using neural networks." In The 32nd European Modeling & Simulation Symposium. CAL-TEK srl, 2020. http://dx.doi.org/10.46354/i3m.2020.emss.045.

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Ferreira, J., Z. Vale, and R. Puga. "Nodal price simulation in competitive electricity markets." In 2009 6th International Conference on the European Energy Market (EEM 2009). IEEE, 2009. http://dx.doi.org/10.1109/eem.2009.5207169.

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