Výsledky vyhledávání - "H.Aa. Nielsen"

Conditional weighted combination of wind power forecasts

Autor: Fannar Örn Thordarson, H.Aa. Nielsen, Henrik Madsen, Pierre Pinson

Publikováno v: Wind Energy. 13:751-763

The classical regression model for combined forecasting is reformulated in order to impose restrictions on the combination weights. This restricted linear combination model is then extended to the case where the weights are allowed to be a nonparamet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::694e65fce4419eca9ed468a592382b94
https://doi.org/10.1002/we.395

Zobrazit plný text záznamu

Temperature prediction at critical points in district heating systems

Autor: H.Aa. Nielsen, Henrik Madsen, Torben Skov Nielsen, Pierre Pinson, Niels Kjølstad Poulsen

Publikováno v: Pinson, P, Nielsen, T S, Nielsen, H A, Poulsen, N K & Madsen, H 2009, ' Temperature prediction at critical points in district heating systems ', European Journal of Operational Research, vol. 194, no. 1, pp. 163-176 . https://doi.org/10.1016/j.ejor.2007.11.065

Current methodologies for the optimal operation of district heating systems use model predictive control. Accurate forecasting of the water temperature at critical points is crucial for meeting constraints related to consumers while minimizing the pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::405ee48366e4b957afe0538c7ccacde3
https://doi.org/10.1016/j.ejor.2007.11.065

Zobrazit plný text záznamu

Skill forecasting from ensemble predictions of wind power

Autor: Pierre Pinson, Georges Kariniotakis, H.Aa. Nielsen, Henrik Madsen

Publikováno v: Pinson, P, Nielsen, H A, Madsen, H & Kariniotakis, G 2009, ' Skill forecasting from ensemble predictions of wind power ', Applied Energy, vol. 86, no. 7-8, pp. 1326-1334 . https://doi.org/10.1016/j.apenergy.2008.10.009
Applied Energy
Applied Energy, Elsevier, 2009, 86 (7-8, July-August 2009), pp.Pages 1326-1334. ⟨10.1016/j.apenergy.2008.10.009⟩
Applied Energy, Elsevier, 2009, 86 (7-8, July-August 2009), pp.Pages 1326-1334. 〈10.1016/j.apenergy.2008.10.009〉

International audience; Optimal management and trading of wind generation calls for the providing of uncertainty estimates along with the commonly provided short-term wind power point predictions. Alternative approaches for the use of probabilistic f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1e4e7d36110268bec83736c68e4010a
https://orbit.dtu.dk/en/publications/6af34721-ea8f-4e60-8cf3-713891a21c0b

Zobrazit plný text záznamu

Conditional parametric models for storm sewer runoff

Autor: Olafur Petur Palsson, H.Aa. Nielsen, Jonas Eliasson, Henrik Madsen, Harpa Jonsdottir, Marinus K. Nielsen

Publikováno v: Water Resources Research. 43

[1] The method of conditional parametric modeling is introduced for flow prediction in a sewage system. It is a well-known fact that in hydrological modeling the response (runoff) to input (precipitation) varies depending on soil moisture and several

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::790a931d957298fd367f570f320200b2
https://doi.org/10.1029/2005wr004500

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání