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Load profiles analysis for electricity market

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Author Info

  • Radu Porumb

    ()
    (University Politehnica of Bucharest, Faculty of Power Engineering, Romania)

  • Petru Postolache

    ()
    (University Politehnica of Bucharest, Faculty of Power Engineering, Romania)

  • George Serițan

    ()
    (University Politehnica of Bucharest, Faculty of Electrical Engineering, Romania)

  • Ramona Vatu

    ()
    (University Politehnica of Bucharest, Faculty of Power Engineering, Romania)

  • Oana Ceaki

    ()
    (University Politehnica of Bucharest, Faculty of Power Engineering, Romania)

Registered author(s):

    Abstract

    In the wake of electric power system transition towards smart grids, and the adoption of the electric market schemes, electric utilities are facing the need of a better load profiles understanding for their customers. In this work, some key objectives were addresses, such as definition of the mathematical model for calculating the hourly energy specific, identification of the three target groups for users who have developed consumer profiles, definition of the two types of significant load and assessment of the impact of using consumer profiles on users.

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    File URL: http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_I_issue_2/CMSS_vol_I_issue_2_art_004.pdf
    File Function: First version, 2013
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    Bibliographic Info

    Article provided by "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences in its journal Computational Methods in Social Sciences (CMSS).

    Volume (Year): 1 (2013)
    Issue (Month): 2 (December)
    Pages: 30-38

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    Handle: RePEc:ntu:ntcmss:vol1-iss2-13-30

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    Related research

    Keywords: Distribution system; electricity market; load profile;

    References

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    1. Trueck, Stefan & Weron, Rafal & Wolff, Rodney, 2007. "Outlier Treatment and Robust Approaches for Modeling Electricity Spot Prices," MPRA Paper 4711, University Library of Munich, Germany.
    2. Rafał Weron, 2009. "Heavy-tails and regime-switching in electricity prices," Computational Statistics, Springer, vol. 69(3), pages 457-473, July.
    3. Huisman, R. & Mahieu, R.J., 2003. "Regime jumps in electricity prices," Open Access publications from Tilburg University urn:nbn:nl:ui:12-3131736, Tilburg University.
    4. H�lyette Geman & Andrea Roncoroni, 2006. "Understanding the Fine Structure of Electricity Prices," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1225-1262, May.
    5. Terry Robinson, 2000. "Electricity pool prices: a case study in nonlinear time-series modelling," Applied Economics, Taylor & Francis Journals, vol. 32(5), pages 527-532.
    6. Alvaro Cartea & Marcelo Figueroa, 2005. "Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(4), pages 313-335.
    7. Huisman, R. & Huurman, C. & Mahieu, R.J., 2007. "Hourly Electricity Prices in Day-Ahead Markets," ERIM Report Series Research in Management ERS-2007-002-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
    8. Schlueter, Stephan, 2010. "A long-term/short-term model for daily electricity prices with dynamic volatility," Energy Economics, Elsevier, vol. 32(5), pages 1074-1081, September.
    9. Misiorek Adam & Trueck Stefan & Weron Rafal, 2006. "Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-36, September.
    10. Adam Misiorek & Rafal Weron, 2006. "Interval forecasting of spot electricity prices," HSC Research Reports HSC/06/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    11. Geman, Hélyette & Roncoroni, Andréa, 2006. "Understanding the Fine Structure of Electricity Prices," Economics Papers from University Paris Dauphine 123456789/1433, Paris Dauphine University.
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