{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T10:49:42Z","timestamp":1760784582041,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,10,29]],"date-time":"2018-10-29T00:00:00Z","timestamp":1540771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020","doi-asserted-by":"publisher","award":["642108"],"award-info":[{"award-number":["642108"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Very short-term forecasts of wind power provide electricity market participants with extremely valuable information, especially in power systems with high penetration of wind energy. In very short-term horizons, statistical methods based on historical data are frequently used. This paper explores the use of dual-Doppler radar observations of wind speed and direction to derive five-minute ahead deterministic and probabilistic forecasts of wind power. An advection-based technique is introduced, which estimates the predictive densities of wind speed at the target wind turbine. In a case study, the proposed methodology is used to forecast the power generated by seven turbines in the North Sea with a temporal resolution of one minute. The radar-based forecast outperforms the persistence and climatology benchmarks in terms of overall forecasting skill. Results indicate that when a large spatial coverage of the inflow of the wind turbine is available, the proposed methodology is also able to generate reliable density forecasts. Future perspectives on the application of Doppler radar observations for very short-term wind power forecasting are discussed in this paper.<\/jats:p>","DOI":"10.3390\/rs10111701","type":"journal-article","created":{"date-parts":[[2018,10,29]],"date-time":"2018-10-29T11:10:41Z","timestamp":1540811441000},"page":"1701","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["On the Use of Dual-Doppler Radar Measurements for Very Short-Term Wind Power Forecasts"],"prefix":"10.3390","volume":"10","author":[{"given":"Laura","family":"Valldecabres","sequence":"first","affiliation":[{"name":"Institute of Physics, ForWind\u2014University of Oldenburg, K\u00fcpkersweg 70, 26129 Oldenburg, Germany"}]},{"given":"Nicolai Gayle","family":"Nygaard","sequence":"additional","affiliation":[{"name":"\u00d8rsted Wind Power, Kraftv\u00e6rksvej 53, 7000 Fredericia, Denmark"}]},{"given":"Luis","family":"Vera-Tudela","sequence":"additional","affiliation":[{"name":"Institute of Physics, ForWind\u2014University of Oldenburg, K\u00fcpkersweg 70, 26129 Oldenburg, Germany"}]},{"given":"Lueder","family":"Von Bremen","sequence":"additional","affiliation":[{"name":"Institute of Physics, ForWind\u2014University of Oldenburg, K\u00fcpkersweg 70, 26129 Oldenburg, Germany"},{"name":"DLR Institute of Networked Energy Systems, Carl von Ossietzky Stra\u00dfe 15, 26129 Oldenburg, Germany"}]},{"given":"Martin","family":"K\u00fchn","sequence":"additional","affiliation":[{"name":"Institute of Physics, ForWind\u2014University of Oldenburg, K\u00fcpkersweg 70, 26129 Oldenburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,29]]},"reference":[{"key":"ref_1","unstructured":"Cutululis, N., Litong-Palima, M., and S\u00f8rensen, P. 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