Use of smart meters as feedback for district heating temperature control

Autor: Jan Kloppenborg Møller, Torben Skov Nielsen, Hjörleifur G. Bergsteinsson, Henrik Madsen, Sara Ben Amer, Dominik Franjo Dominković

Publikováno v: Energy Reports, Vol 7, Iss, Pp 213-221 (2021)
Bergsteinsson, H G, Nielsen, T S, Møller, J K, Amer, S B, Dominković, D F & Madsen, H 2021, ' Use of smart meters as feedback for district heating temperature control ', Energy Reports, vol. 7, pp. 213-221 . https://doi.org/10.1016/j.egyr.2021.08.153

Smart meters implemented at the end-user in the energy sector create the opportunity to develop data-intelligent methods for district heating systems by using a large amount of fine-granular heat consumption time series from end-users. The current st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93640bdd936ac7af27958d6ee79a1dc3
http://www.sciencedirect.com/science/article/pii/S2352484721007575

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

Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models

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

Publikováno v: Wind Engineering. 29:475-489

Short-term wind power prediction is a primary requirement for efficient large-scale integration of wind generation in power systems and electricity markets. The choice of an appropriate prediction model among the numerous available models is not triv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2241d910805080f1aa069b8b2675f58d
https://doi.org/10.1260/030952405776234599

Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden

Autor: Martin Haubjerg Rosgaard, Hahmann, Andrea N., Torben Skov Nielsen, Gregor Giebel, Poul Ejnar Sørensen, Henrik Madsen

Publikováno v: Rosgaard, M H, Hahmann, A N, Nielsen, T S, Giebel, G, Sørensen, P E & Madsen, H 2014, Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden . in Proceedings of the 3 rd International Lund Regional-Scale Climate Modelling Workshop: 21 st Century Challenges in Regional Climate Modelling . International Baltic Earth Secretariat Publications, no. 3, pp. 282-283, 3rd International Lund Regional-Scale Climate Modelling Workshop, Lund, Sweden, 16/06/2014 .
Technical University of Denmark Orbit
Rosgaard, M H, Hahmann, A N, Nielsen, T S, Giebel, G, Sørensen, P E & Madsen, H 2014, ' Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden ' Centre for IT-Intelligent Energy Systems general Consortium Meeting 2014, Lyngby, Denmark, 26/05/2014-27/05/2014, .
Rosgaard, M H, Hahmann, A N, Nielsen, T S, Giebel, G, Sørensen, P E & Madsen, H 2014, ' Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden ' European Geosciences Union General Assembly 2014, Vienna, Austria, 27/04/2014-02/05/2014, .
Rosgaard, M H, Hahmann, A N, Nielsen, T S, Sørensen, P E, Madsen, H & Giebel, G 2014, ' Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden ' 3rd International Lund Regional-Scale Climate Modelling Workshop, Lund, Sweden, 16/06/2014-19/06/2014, .

For any energy system relying on wind power, accurate forecasts of wind fluctuations are essential for efficient utilisation in the power grid. Statistical wind power prediction tools [1] use numerical weather prediction (NWP) model data along with m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::185dc6c4b74ce49969ece6405ddb5da6
https://orbit.dtu.dk/en/publications/2c200e9a-a2e3-421f-b516-44c5801569cb

Tracking time-varying-coefficient functions

Autor: Jan Holst, Torben Skov Nielsen, Alfred K. Joensen, Henrik Aalborg Nielsen, Henrik Madsen

Publikováno v: International Journal of Adaptive Control and Signal Processing. 14:813-828

SUMMARY A method for adaptive and recursive estimation in a class of non-linear autoregressive models with external input is proposed. The model class considered is conditionally parametric ARX-models (CPARX-models), which is conventional ARX-models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6352853da642e88e86219d027f3b2dee
https://doi.org/10.1002/1099-1115(200012)14:8<813::aid-acs622>3.0.co