Long term forecasting of hourly electricity consumption in local areas in Denmark
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DOI: 10.1016/j.apenergy.2013.04.046
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- F. M. Andersen & H. V. Larsen & L. Kitzing & P. E. Morthorst, 2014. "Who gains from hourly time‐of‐use retail prices on electricity? An analysis of consumption profiles for categories of Danish electricity customers," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(6), pages 582-593, November.
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- Jose Juan Caceres-Hernandez & Gloria Martin-Rodriguez & Jonay Hernandez-Martin, 2022. "A proposal for measuring and comparing seasonal variations in hourly economic time series," Empirical Economics, Springer, vol. 62(4), pages 1995-2021, April.
- Chatzisideris, Marios D. & Laurent, Alexis & Christoforidis, Georgios C. & Krebs, Frederik C., 2017. "Cost-competitiveness of organic photovoltaics for electricity self-consumption at residential buildings: A comparative study of Denmark and Greece under real market conditions," Applied Energy, Elsevier, vol. 208(C), pages 471-479.
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- Feng, Yonghan & Ryan, Sarah M., 2016. "Day-ahead hourly electricity load modeling by functional regression," Applied Energy, Elsevier, vol. 170(C), pages 455-465.
- Knittel, Tamara & Palmer-Wilson, Kevin & McPherson, Madeleine & Wild, Peter & Rowe, Andrew, 2024. "Heating electrification in cold climates: Invest in grid flexibility," Applied Energy, Elsevier, vol. 356(C).
- Angreine Kewo & Pinrolinvic D. K. Manembu & Per Sieverts Nielsen, 2020. "Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model," Energies, MDPI, vol. 13(14), pages 1-28, July.
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Keywords
Long term electricity consumption; Forecasting load profiles; Local areas; Econometric modelling;All these keywords.
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