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Forecasting electricity infeed for distribution system networks: An analysis of the Dutch case

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  • Tanrisever, Fehmi
  • Derinkuyu, Kursad
  • Heeren, Michael

Abstract

Estimating and managing electricity distribution losses are the core business competencies of DSOs (distribution system operators). Since electricity demand is a major driver of network losses, it is essential for DSOs to have an accurate estimate of the electricity infeed in their network. In this paper, motivated by the operations of a Dutch electricity distribution system operator, we examine how to estimate the electricity infeed in distribution networks one year in advance with hourly forecasting intervals, so that the DSOs may effectively hedge for their physical losses in the wholesale markets.

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  • Tanrisever, Fehmi & Derinkuyu, Kursad & Heeren, Michael, 2013. "Forecasting electricity infeed for distribution system networks: An analysis of the Dutch case," Energy, Elsevier, vol. 58(C), pages 247-257.
    • Handle: RePEc:eee:energy:v:58:y:2013:i:c:p:247-257
    DOI: 10.1016/j.energy.2013.05.032
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    2. Sun, Zeyi & Li, Lin & Bego, Andres & Dababneh, Fadwa, 2015. "Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system," International Journal of Production Economics, Elsevier, vol. 165(C), pages 112-119.
    3. Tanrisever, Fehmi & Derinkuyu, Kursad & Jongen, Geert, 2015. "Organization and functioning of liberalized electricity markets: An overview of the Dutch market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1363-1374.
    4. Esmaeeli, M. & Kazemi, A. & Shayanfar, H.A. & Haghifam, M.-R., 2015. "Multistage distribution substations planning considering reliability and growth of energy demand," Energy, Elsevier, vol. 84(C), pages 357-364.

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