يعرض 1 - 20 نتائج من 244 نتيجة بحث عن '"Mercados de energía"', وقت الاستعلام: 0.75s تنقيح النتائج
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    Academic Journal
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    المساهمون: Camus, Cristina Inês, Sousa, Jorge de, RCIPL

    وصف الملف: application/pdf

    Relation: CAÇADOR, Diogo Miguel das Neves Irédio – Instalações fotovoltaicas em albufeiras: avaliação técnico-económica dos lotes admitidos no leilão de 2021. Lisboa: Instituto Superior de Engenharia de Lisboa, 2023. Dissertação de Mestrado.

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    Academic Journal

    المصدر: TecnoLógicas; Vol. 27 No. 60 (2024); e2992 ; TecnoLógicas; Vol. 27 Núm. 60 (2024); e2992 ; 2256-5337 ; 0123-7799

    وصف الملف: application/pdf

    Relation: https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2992/3291; N. Razzaghi-Asl, J. Tanha, M. Nabatian, and N. Samadi, “Smart Grid based decentralized Peer-to-Peer Energy Trading Using Whale Optimization Algorithm,” in 2021 7th International Conference on Signal Processing and Intelligent Systems, Tehran, Iran, Islamic Republic of, 2021, pp. 01-05. https://doi.org/10.1109/ICSPIS54653.2021.9729347; N. Ghorbani-Renani, and P. Odonkor, “An Energy Cost Optimization Model for Electricity Trading in Community Microgrids,” in 2022 IEEE International Smart Cities Conference, Pafos, Cyprus, 2022, pp. 1-7. https://doi.org/10.1109/ISC255366.2022.9922504; G. Vieira, and J. Zhang, “Peer-to-peer energy trading in a microgrid leveraged by smart contracts,” Renewable and Sustainable Energy Reviews, vol. 143, p. 110900, Jun. 2021. https://doi.org/10.1016/j.rser.2021.110900; Y. Xia, Q. Xu, S. Li, R. Tang, and P. Du, “Reviewing the peer-to-peer transactive energy market: Trading environment, optimization methodology, and relevant resources,” J. Cleaner Prod., vol. 383, p. 135441, Jan. 2022. https://doi.org/10.1016/j.jclepro.2022.135441; S. Suthar, S. H. C. Cherukuri, and N. M. Pindoriya, “Peer-to-peer energy trading in smart grid: Frameworks, implementation methodologies, and demonstration projects,” Electric Power Syst. Res., vol. 214, p. 108907, Jan. 2023. https://doi.org/10.1016/j.epsr.2022.108907; T. Capper et al., “Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models,” Renewable Sustain. Energy Rev., vol. 162, p. 112403, Jul. 2022. https://doi.org/10.1016/j.rser.2022.112403; A. L. Bukar et al., “Peer-to-peer electricity trading: A systematic review on current developments and perspectives,” Renew. Energy Focus., vol. 44, pp. 317–333, 2023. https://doi.org/10.1016/j.ref.2023.01.008; A. Timilsina, and S. Silvestri, “Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing,” in 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 4836-4841. https://doi.org/10.1109/GLOBECOM48099.2022.10001173; M. Vieira, R. Faia, T. Pinto, and Z. Vale, “Schedule Peer-to-Peer Transactions of an Energy Community Using Particle Swarm,” in 2022 18th International Conference on the European Energy Market, Ljubljana, Slovenia, 2022, pp. 1-6. https://doi.org/10.1109/EEM54602.2022.9921094; S. Cui, W. Yan-Wu, and X. Jiang-Wen, “Peer-to-peer energy sharing among smart energy buildings by distributed transaction,” IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6491–6501, Nov. 2019. https://doi.org/10.1109/TSG.2019.2906059; Y. Sharifian, and H. Abdi, “Multi-area economic dispatch problem: Methods, uncertainties, and future directions,” Renewable Sustain. Energy Rev., vol. 191, p. 114093, Mar. 2024. https://doi.org/10.1016/j.rser.2023.114093; A. B. Kunya, A. S. Abubakar, and S. S. Yusuf, “Review of economic dispatch in multi-area power system: State-of-the-art and future prospective,” Electric Power Syst. Res., vol. 217, p. 109089, Apr. 2023. https://doi.org/10.1016/j.epsr.2022.109089; S. Xuanyue et al., “Peer-to-peer multi-energy distributed trading for interconnected microgrids: A general Nash bargaining approach,” Int. J. Electr. Power Energy Syst., vol. 138, p. 107892, Jun. 2022. https://doi.org/10.1016/j.ijepes.2021.107892; T. Alskaif, J. L. Crespo-Vazquez, M. Sekuloski, G. V. Leeuwen, and J. P. Catalao, “Blockchain-based fully peer-to-peer energy trading strategies for residential energy systems,” IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 231–241, Jan. 2022. https://doi.org/10.1109/TII.2021.3077008; K. Anoh, S. Maharjan, A. Ikpehai, Y. Zhang, and B. Adebisi, “Energy peer-to-peer trading in virtual microgrids in smart grids: A game- theoretic approach,” IEEE Transactions on Smart Grid, vol. 11, no 2, pp.1264–1275, Mar. 2020. https://doi.org/10.1109/TSG.2019.2934830; Y. Cui, Y. Xu, Y. Wang, Y. Zhao, H. Zhu, and D. Cheng, “Peer-to-peer energy trading with energy trading consistency in interconnected multi-energy microgrids: A multi-agent deep reinforcement learning approach,” Int. J. Elect. Power & Energy Syst., vol. 156, p. 109753, Feb. 2024. https://doi.org/10.1016/j.ijepes.2023.109753; I. Quintas-Pereira, “Implementación del algoritmo del replicador dinámico en lenguaje R,” Política y Cultura, no. 39, pp. 251–261, Jun. 2013. https://www.redalyc.org/articulo.oa?id=26727013013; J. Rychtář, and M. Broom, Game-Theoretical Models in Biology, 2nd ed. New York, NY, USA: Chapman and Hall/CRC, 2022. https://doi.org/10.1201/9781003024682; E. Baron-Prada, and E. Mojica-Nava, “A population games transactive control for distributed energy resources,” Int. J. Elect. Power & Energy Syst., vol. 130, p. 106874, Sep. 2021. https://doi.org/10.1016/j.ijepes.2021.106874; B. Xin, and M. Zhang, “Evolutionary game on international energy trade under the russia-ukraine conflict,” Energy Economics, vol. 125, p. 106827, 2023. https://doi.org/10.1016/j.eneco.2023.106827; A. Paudel, K. Chaudhari, C. Long, and H. B. Gooi, “Peer-to-peer energy trading in a prosumer-based community microgrid: A game-theoretic model,” IEEE Transactions on Industrial Electronics, vol. 66, no. 8, pp. 6087–6097, Aug. 2019. https://doi.org/10.1109/TIE.2018.2874578; L. Won-Poong, D. Han, and D. Won, “Grid-oriented coordination strategy of prosumers using game-theoretic peer-to-peer trading framework in energy community,” Applied Energy, vol. 326, p. 119980, Nov. 2022. https://doi.org/10.1016/j.apenergy.2022.119980; M. Tofighi-Milani, S. Fattaheian-Dehkordi, M. Gholami, M. Fotuhi-Firuzabad, and M. Lehtonen, “A novel distributed paradigm for energy scheduling of islanded multiagent microgrids,” IEEE Access, vol. 10, pp. 83636–83649, Aug. 2022. https://doi.org/10.1109/ACCESS.2022.3197160; J. Martinez-Piazuelo, W. Ananduta, C. Ocampo-Martinez, S. Grammatico, and N. Quijano, “Population Games With Replicator Dynamics Under Event-Triggered Payoff Provider and a Demand Response Application,” IEEE Control Systems Letters, vol. 7, pp. 3417-3422, Jun. 2023. https://doi.org/10.1109/LCSYS.2023.3285532; A. Pantoja, G. Obando, and N. Quijano, “Distributed optimization with information-constrained population dynamics,” Journal of the Franklin Institute, vol. 356, no 1, pp. 209–236, Jan. 2019. https://doi.org/10.1016/j.jfranklin.2018.10.016; S. Chacon, E. Benavides, A. Pantoja, and G. Obando, “Optimización de Costos en Transacciones de Energía Multi-Región Mediante Replicadores Dinámicos con Restricciones,” in 1º Congreso de Electrónica e Informática Aplicada “CEIA”, Pasto, Colombia, 2023. [Unpublished]; J. Zhu, "Classic Economic Dispatch" In Optimization of Power System Operation, Hoboken, Ed., NJ, USA: Wiley, 2015, pp. 91-143. https://doi.org/10.1002/9781118887004; A. Aguilar, and J. Díaz. “Una visión del mercado eléctrico colombiano,” Bogotá, Colombia: Unidad de Planeación Minero-Energética (UPME), 2004. http://www.upme.gov.co/Docs/Vision_Mercado_Electrico_Colombiano.pdf; RESOLUCIÓN 174 DE 2021, 174, Comisión de Regulación de Energía y Gas, Colombia, 2021. [Online]. Available: https://gestornormativo.creg.gov.co/gestor/entorno/docs/resolucion_creg_0174_2021.htm#6; R. H. Byrd, J. C. Gilbert, and J. Nocedal, “A trust region method based on interior point techniques for nonlinear programming,” Math. Program., vol. 89, no. 1, pp. 149–185, Nov. 2000. https://doi.org/10.1007/PL00011391; https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2992

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    المساهمون: Pereira, Isabel Cecília Correia da Silva Praça Gomes, Repositório Científico do Instituto Politécnico do Porto

    وصف الملف: application/pdf

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    المؤلفون: Carvalho, Ivo Filipe Lameirão

    المساهمون: Sousa, Jorge Alberto Mendes de, Lagarto, João Hermínio Ninitas, RCIPL

    وصف الملف: application/pdf

    Relation: CARVALHO, Ivo Filipe Lameirão - Análise da integração dos mercados de banda de reserva secundária de Portugal e Espanha. Lisboa: Instituto Superior de Engenharia de Lisboa, 2018. Dissertação de mestrado.

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    Academic Journal

    وصف الملف: 16 páginas; application/pdf

    Relation: 50; 35; 22; Revista electrónica de comunicación y trabajos de ASEPUMA; Agudelo, D. & Gutiérrez, Á. (2011). Anuncios macroeconómicos y mercados accionarios: el caso latinoamericano. Academia. Revista Latinoamericana de Administración, (48), 46-60.; Agudelo, D. (2015). Inversiones en renta variable: Fundamentos y aplicaciones al mercadeo accionario colombiano. Universidad EAFIT.; Amundsen, E. & Singh, B. (1992). Developing futures markets for electricity in Europe. The Energy Journal, 13(3), 95-112; Awerbuch, S. & Berger, M. (2003). Applying portfolio theory to EU electricity planning and policy-making. IEA/EET, Working Paper 03, 1-70.; Bar-Lev, D. & Katz, S. (1976). A portfolio approach to fossil fuel procurement in the electric utility industry. The Journal of Finance, 31(3), 933-947.; Barrera, G., Cañón, A. & Sánchez, J. C. (2020). Managing Colombian farmers price risk exposure with electrical derivatives market. Heliyon, 6, 1-15.; Björk, T. (2009). Arbitrage theory in continuous time. Oxford University Press.; Blackmon, B. (1985). A Futures Market for Electricity: Benefits and Feasibility. Energy and Environmental Policy Center, John F. Kennedy School of Government, Harvard University; Bodie, Z., Kan, A. & Marcus, A. (2018). Investments. McGraw Hill.; Boroumand, R. H., & Goutte, S. (2017). Intraday hedging with financial options: the case of electricity. Applied Economics Letters, 24(20), 1448-1454.; deLlano-Paz, F., Calvo-Silvosa, A., Antelo, S. & Soares, I. (2017). Energy planning and modern portfolio theory: A review. Renewable and Sustainable Energy Reviews, 77, 636-651.; Deng, S. & Oren, S. (2006). Electricity derivatives and risk management. Energy, 31(6-7), 940-953; Faia, R., Pinto, T., Vale, Z. & Corchado, J.M. (2021). Portfolio optimization of electricity markets participation using forecasting error in risk formulation. International Journal of Electrical Power and Energy Systems, 129, 1-12.; García, R., González, V., Contreras, J. & Custodio, J. (2017). Applying modern portfolio theory for a dynamic energy portfolio allocation in electricity markets. Electric Power Systems Research, 150, 11-23.; Gaviria, E. & Carrasquilla, A. (2014). Contraste de modelos estocásticos para el precio de la energía en Colombia. Revista de la Facultad de Ciencias, 3(1), 41-55.; Hanly, J., Morales, L. & Cassells, D. (2018). The efficacy of financial futures as a hedging tool in electricity markets. International Journal of Finance & Economics, 23(1), 29-40.; Hull, J. (2021). Options, futures and other derivatives (11th ed.). Pearson.; Jamshidi, M., Kebriaei, H. & Sheikh-El-Eslami, M. (2018). An interval-based stochastic dominance approach for decision making in forward contracts of electricity market. Energy, 158, 383-395.; León, S. & Trespalacios, A. (2015). Factores macroeconómicos que influyen en la volatilidad del índice accionario COLCAP [Tesis de maestría, Universidad EAFIT]. Archivo digital.; Liu, M. & Wu, F. (2007). Portfolio optimization in electricity markets. Electric Power Systems Research, 77(8), 1000-1009.; Liu, M., Wu, F. & Ni, Y. (2006, June). A survey on risk management in electricity markets [conference]. 2006 IEEE Power Engineering Society General Meeting. Montreal, Canada. https://ieeexplore.ieee.org/abstract/document/1709009; Lu, X., Lai, K. & Liang, L. (2014). Portfolio value-at-risk estimation in energy futures markets with time-varying copula-GARCH model. Annals of Operations Research, 219(1), 333-357.; Lucia, J. & Schwartz, E. (2002). Electricity prices and power derivatives: Evidence from the nordic power exchange. Review of derivatives research, 5(1), 5-50.; Maradey, K., Pantoja, J. & Trespalacios, A. (2017). Analysis of the financial margins required to hedge risks in electric power futures markets. Ecos de Economía, 21(45), 67-105.; Méndez-Castro, C.M. (2020). Conceptualización del modelo colombiano de commodities de energía eléctrica teniendo como referencia los mercados norteamericano y español. Universidad Nacional de Colombia. Medellín.; Mikosch, T. (1998). Elementary stochastic calculus with finance in view. World Scientific.; Perea González, A.P. & Zavaleta Vázquez, O.H. (2020). Designing an optimal electricity supply portfolio based on the Markowitz model: The case of a user in Mexico. Contaduría y Administración. 65(1), 1-20.; Pilipovic, D. (1998). Energy risk: Valuing and managing energy derivatives. McGraw-Hill; Rendón, J., Hinestroza, A. & Moreno, L. (2011). Determinantes del precio de la energía eléctrica en el mercado no regulado en Colombia. Revista Ciencias Estratégicas, 19(26), 225-246.; Rodríguez, D., Trespalacios, A., & Pantoja, J. (2021). Analysis of the risk premium implicit in forward energy contracts. Instituto Tecnológico Metropolitano. Working Paper.; Roques, F., Newbery, D. & Nuttall, W. (2008). Fuel mix diversification incentives in liberalized electricity markets: A Mean–Variance Portfolio theory approach. Energy Economics, 30(4), 1831-1849.; Sikora, I., Abad, J. & Salvagno, J. (2017). Determinantes del precio spot eléctrico en el sistema interconectado central de Chile. Revista de Análisis Económico, 32(2), 3-38; Sun, B., Wang, F., Xie, J. & Sun, X. (2020). Electricity Retailer Trading Portfolio Optimization Considering Risk Assessment in Chinese Electricity Market. Electric Power Systems Research, 190, 1-12.; Trespalacios, A., García, J. & Pantoja, J. (2012). Estrategia de cobertura a través de contratos a plazo en mercados eléctricos. Academia. Revista Latinoamericana de Administración, (50), 148-157.; Trespalacios, A., Pantoja, J., & Fernández, O. (2017). Análisis de mercados de electricidad. Universidad EAFIT.; https://dspace.tdea.edu.co/handle/tdea/2731

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