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Differentiated long term projections of the hourly electricity consumption in local areas. The case of Denmark West. (2014). Andersen, F. M. ; Gaardestrup, R. B. ; Juul, N. ; Larsen, H. V..
In: Applied Energy.
RePEc:eee:appene:v:135:y:2014:i:c:p:523-538.

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Cited: 5

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Cites: 25

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Cocites: 25

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Citations received by this document

  1. Analysis of the impact of energy efficiency labelling and potential changes on electricity demand reduction of white goods using a stock model: The case of Switzerland. (2019). Mahmoodi, J ; Heidari, M ; Majcen, D ; Yilmaz, S ; Patel, M K ; Brosch, T.
    In: Applied Energy.
    RePEc:eee:appene:v:239:y:2019:i:c:p:117-132.

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  2. Understanding spatio-temporal electricity demand at different urban scales: A data-driven approach. (2018). Voulis, Nina ; Warnier, Martijn .
    In: Applied Energy.
    RePEc:eee:appene:v:230:y:2018:i:c:p:1157-1171.

    Full description at Econpapers || Download paper

  3. A Top-Down Spatially Resolved Electrical Load Model. (2017). Schwane, Adrien ; Stein, Felix Ter ; Robinius, Martin ; Stolten, Detlef.
    In: Energies.
    RePEc:gam:jeners:v:10:y:2017:i:3:p:361-:d:92993.

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  4. Households’ hourly electricity consumption and peak demand in Denmark. (2017). Hansen, Lars ; Baldini, Mattia ; Andersen, Frits Moller ; Jensen, Carsten Lynge.
    In: Applied Energy.
    RePEc:eee:appene:v:208:y:2017:i:c:p:607-619.

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  5. A novel method for decomposing electricity feeder load into elementary profiles from customer information. (2017). Barbier, Thibaut ; Gerossier, Alexis ; Girard, Robin.
    In: Applied Energy.
    RePEc:eee:appene:v:203:y:2017:i:c:p:752-760.

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References

References cited by this document

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  5. Andersen, F.M. ; Larsen, H.V. ; Kitzing, L. ; Morthorst, P.E. Who gains from hourly time-of-use retail prices on electricity? – an analysis of consumption profiles for categories of Danish electricity customers. 2014 WIREs Energy and Environment, Wiley:

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  3. A Framework to Forecast Electricity Consumption of Meters using Automated Ranking and Data Preprocessing. (2023). Cinar, Hakan ; Guzel, Tulin ; Hekimoglu, Mustafa ; Yucekaya, Ahmet ; Oguz, Kamil Doruk ; Cenet, Mehmet Nabi.
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  4. A proposal for measuring and comparing seasonal variations in hourly economic time series. (2022). Cáceres-Hernández, José Juan ; Hernandez-Martin, Jonay ; Martin-Rodriguez, Gloria ; Caceres-Hernandez, Jose Juan.
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  5. The impact of the COVID-19 pandemic and behavioral restrictions on electricity consumption and the daily demand curve in Turkey. (2022). Hekimoglu, M ; Aktunc, Agca E ; Bilge, A ; Yucekaya, A ; Kok, A ; Yukseltan, E.
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  6. Forecasting Hourly Electricity Demand Under COVID-19 Restrictions. (2022). Bilge, Aye ; Yucekaya, Ahmet ; Aktunc, Esra Agca ; Hekimolu, Mustafa ; Yukseltan, Ergun ; Kok, Ali.
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  7. Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model. (2020). Nielsen, Per Sieverts ; Kewo, Angreine.
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    In: Applied Energy.
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