IDEAS home Printed from https://ideas.repec.org/p/col/000122/016975.html
   My bibliography  Save this paper

Redes inteligentes y mecanismo de respuesta de la demanda: el caso del sector eléctrico colombiano Smart grids and demand response mechanism: the case of the Colombian electricity market?

Author

Listed:
  • John J. Garcia-Rendon
  • Alejandro Gutiérrez Gómez
  • Luisa Vargas Tobón
  • Hermilson Velasquez Ceballos

Abstract

No abstract is available for this item.

Suggested Citation

  • John J. Garcia-Rendon & Alejandro Gutiérrez Gómez & Luisa Vargas Tobón & Hermilson Velasquez Ceballos, 2018. "Redes inteligentes y mecanismo de respuesta de la demanda: el caso del sector eléctrico colombiano Smart grids and demand response mechanism: the case of the Colombian electricity market?," Documentos de Trabajo de Valor Público 16975, Universidad EAFIT.
  • Handle: RePEc:col:000122:016975
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10784/13274
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Cramton, 2017. "Electricity market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 589-612.
    2. Cappers, Peter & Goldman, Charles & Kathan, David, 2010. "Demand response in U.S. electricity markets: Empirical evidence," Energy, Elsevier, vol. 35(4), pages 1526-1535.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John Jairo García & Alejandro Gutiérrez & Luisa Vargas & Hermilson Velásquez, 2018. "Redes inteligentes y mecanismo de respuesta de la demanda: el caso del sector eléctrico colombiano," Documentos de Trabajo de Valor Público 17010, Universidad EAFIT.
    2. Keppler, Jan Horst & Quemin, Simon & Saguan, Marcelo, 2022. "Why the sustainable provision of low-carbon electricity needs hybrid markets," Energy Policy, Elsevier, vol. 171(C).
    3. Dong, Jun & Xue, Guiyuan & Li, Rong, 2016. "Demand response in China: Regulations, pilot projects and recommendations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 13-27.
    4. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    5. Peter Cramton, 2022. "Fostering Resiliency with Good Market Design: Lessons from Texas," ECONtribute Discussion Papers Series 145, University of Bonn and University of Cologne, Germany.
    6. Martin Bichler & Johannes Knörr & Felipe Maldonado, 2023. "Pricing in Nonconvex Markets: How to Price Electricity in the Presence of Demand Response," Information Systems Research, INFORMS, vol. 34(2), pages 652-675, June.
    7. Mier, Mathias, 2021. "Efficient pricing of electricity revisited," Energy Economics, Elsevier, vol. 104(C).
    8. Deakin, Matthew & Bloomfield, Hannah & Greenwood, David & Sheehy, Sarah & Walker, Sara & Taylor, Phil C., 2021. "Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity," Applied Energy, Elsevier, vol. 298(C).
    9. Fuat Oğuz, 2020. "Hayekian complexity and the role of regulation in electricity markets," Economic Affairs, Wiley Blackwell, vol. 40(3), pages 406-418, October.
    10. Farboud Khatami & Erfan Goharian, 2022. "Beyond Profitable Shifts to Green Energies, towards Energy Sustainability," Sustainability, MDPI, vol. 14(8), pages 1-28, April.
    11. Eid, Cherrelle & Koliou, Elta & Valles, Mercedes & Reneses, Javier & Hakvoort, Rudi, 2016. "Time-based pricing and electricity demand response: Existing barriers and next steps," Utilities Policy, Elsevier, vol. 40(C), pages 15-25.
    12. Luis R. Boscán, 2020. "European Union retail electricity markets in the Green Transition: The quest for adequate design," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(1), January.
    13. John García Rendón & Dalia Patino Echeverri & Manuel Correa Giraldo, 2019. "Integration of non-conventional renewable energy sources and smart grids in the United States: evidence from PJM," Documentos de Trabajo de Valor Público 17785, Universidad EAFIT.
    14. Khan, Aftab Ahmed & Razzaq, Sohail & Khan, Asadullah & Khursheed, Fatima & Owais,, 2015. "HEMSs and enabled demand response in electricity market: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 773-785.
    15. Derya Eryilmaz, Timothy M. Smith, and Frances R. Homans, 2017. "Price Responsiveness in Electricity Markets: Implications for Demand Response in the Midwest," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    16. Brown, D.P. & Tsai, C.H. & Woo, C.K. & Zarnikau, J. & Zhu, S., 2020. "Residential electricity pricing in Texas's competitive retail market," Energy Economics, Elsevier, vol. 92(C).
    17. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    18. Ran, Fengming & Gao, Dian-ce & Zhang, Xu & Chen, Shuyue, 2020. "A virtual sensor based self-adjusting control for HVAC fast demand response in commercial buildings towards smart grid applications," Applied Energy, Elsevier, vol. 269(C).
    19. Yin, S. & Wang, J. & Li, Z. & Fang, X., 2021. "State-of-the-art short-term electricity market operation with solar generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    20. Martin Bichler & Paul Milgrom & Gregor Schwarz, 2023. "Taming the Communication and Computation Complexity of Combinatorial Auctions: The FUEL Bid Language," Management Science, INFORMS, vol. 69(4), pages 2217-2238, April.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000122:016975. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valor Público EAFIT - Centro de estudios e incidencia (email available below). General contact details of provider: https://edirc.repec.org/data/cieafco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.