Next Generation Short-Term Forecasting of Wind Power – Overview of the ANEMOS Project.
Year: 2006
Type: conference-paper
Abstract: The aim of the European Project ANEMOS is to develop accurate and robust models that substantially outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced statistical, physical and combined modelling approaches were developed for this purpose. Priority was given to methods for on-line uncertainty and prediction risk assessment. An integrated software platform, 'ANEMOS', was developed to host the various models. This system is installed by several end-users for on-line operation and evaluation at a local, regional and national scale. Finally, the project demonstrates the value of wind forecasts for the power system management and market integration of wind power. Keywords: Wind power, short-term forecasting, numerical weather predictions, on-line software, tools for wind integration.
Source: HAL
Authors: Kariniotakis, Georges, Halliday, J., Brownsword, R., Marti, Ignacio, Palomares, Ana Maria, Cruz, I., Madsen, H., Nielsen, T.S., Nielsen, Henrik Aa., Focken, Ulrich, Lange, Matthias, Kallos, George, Louka, Petroula, Hatziargyriou, Nikos D., Frayssinet, P., Waldl, I., Dierich, Félix, Giebel, Gregor, Barthelmie, Rebecca Jane, Badger, Jake, Usaola, Julio, Sanchez, I., Heinemann, Detlev, Tambke, Jens, Moussafir, J., Descombes, G., Calleja, M., Jouhanique, T., Toefting, J., O'Donnel, P., Ryan, M., Indorf, J., Barquero, C., Seguardo, P., Gigandidou, A., Thalassinakis, M., Gonzales, G., Bryans, L., Garrett, D.
Institutions: National Renewable Energy Centre, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, National and Kapodistrian University of Athens, National Technical University of Athens, Météo-France, Overspeed (Germany), Universidad Carlos III de Madrid, ARIA Technologies, Mediterranean Institute for Advanced Studies, Électricité de France (France), National Grid (United States), EWE (Germany), Red Electrica de Espana (Spain)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2612484454