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Published in 2020 at "Estuaries and Coasts"
DOI: 10.1007/s12237-020-00767-4
Abstract: In this study, results from a realistic 3D hydrodynamic and sediment transport model, applied to a channel in the Dutch Wadden Sea, are analyzed in order to assess the effect of short-term wind forcing, the…
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Keywords:
wind forcing;
transport;
sediment;
term wind ... See more keywords
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Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113559
Abstract: Abstract Accurate short-term wind speed prediction is of great significance for early warning and regulation of wind farms. At present, the scale of wind speed time-history data is increasing, and its time resolution is also…
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Keywords:
term wind;
short term;
wind speed;
method ... See more keywords
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Published in 2017 at "Energy"
DOI: 10.1016/j.energy.2017.01.104
Abstract: The large variability and uncertainty in wind power generation present a concern to power system operators, especially given the increasing amounts of wind power being integrated into the electric power system. Large ramps, one of…
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Keywords:
power;
ramp forecasting;
term wind;
wind power ... See more keywords
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Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e01664
Abstract: Short-term wind speed forecasting for Colonia Eulacio, Soriano Department, Uruguay, is performed by applying an artificial neural network (ANN) technique to the hourly time series representative of the site. To train the ANN and validate…
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Keywords:
term wind;
speed forecasting;
short term;
wind speed ... See more keywords
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Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2017.02.014
Abstract: Abstract In recent years, adopting renewable energy, such as wind power, has become a national energy policy for many countries due to concerns of pollution and climate change from fossil fuel consumption. However, accurate prediction…
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Keywords:
assimilation;
system;
forecast;
term wind ... See more keywords
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1
Published in 2017 at "Iet Renewable Power Generation"
DOI: 10.1049/iet-rpg.2016.0118
Abstract: Wind speed presents a potential seasonal pattern revealed by the self-similarity in wavelet periodogram with various scales. The corresponding seasonal pattern will promote the improvement of the short-term wind speed forecasting accuracy. In this study,…
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Keywords:
speed;
wind speed;
term wind;
speed forecasting ... See more keywords
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Published in 2023 at "Wuhan University Journal of Natural Sciences"
DOI: 10.1051/wujns/2023282169
Abstract: As one of the hot topics in the field of new energy, short-term wind power prediction research should pay attention to the impact of meteorological characteristics on wind power while improving the prediction accuracy. Therefore,…
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Keywords:
term wind;
prediction;
wind power;
short term ... See more keywords
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1
Published in 2018 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/1.5024297
Abstract: There are many features that have been taken into consideration for wind power forecasting. Since properly ranking these relevant features, often redundant, can be quite difficult, highly accurate short term wind power forcasting remains a…
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Keywords:
wind power;
wind;
short term;
term wind ... See more keywords
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Published in 2025 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/5.0285012
Abstract: This paper presents a methodology for forecasting short-term wind speed over a broad geographical area using regime-switching covariance models. We establish a theoretical framework for a regime-switching covariance model where the predominant wind speed and…
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Keywords:
term wind;
wind speed;
speed;
covariance ... See more keywords
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Published in 2025 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2024.3424932
Abstract: Ultra-short-term wind power forecasting plays a vital role in real-time scheduling, frequency regulation, and intraday market transactions. Due to the complexity of weather systems, unit aging, wind farm control strategies, etc., the temporal dependency relationship…
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Keywords:
term wind;
wind power;
ultra short;
power ... See more keywords
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Published in 2019 at "Wind Engineering"
DOI: 10.1177/0309524x19849867
Abstract: In order to improve the forecasting accuracy of short-term wind speed, a forecasting method based on autoregressive moving average with echo state network compensation is proposed in this article. First, the linear and nonlinear characteristics…
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Keywords:
short term;
wind speed;
term wind;
forecasting ... See more keywords