A forecast model of short-term wind speed based on the attention mechanism and long short-term memory
Author:
Funder
Young Scientists Fund
Basic Research Program of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17307-4.pdf
Reference32 articles.
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2. Xu W, Liu P, Cheng L, Zhou Y, Xia Q, Gong Y, Liu Y (2021) Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy. Renewable Energy 163:772–782. https://doi.org/10.1016/j.renene.2020.09.032
3. Duarte Jacondino W, Nascimento ALdS, Calvetti L, Fisch G, Augustus Assis Beneti C, da Paz SR (2021) Hourly day-ahead wind power forecasting at two wind farms in northeast Brazil using WRF model. Energy 230:120841. https://doi.org/10.1016/j.energy.2021.120841
4. Sfetsos A (2002) A novel approach for the forecasting of mean hourly wind speed time series. Renewable Energy 27(2):163–174. https://doi.org/10.1016/S0960-1481(01)00193-8
5. Huang Z, Chalabi ZS (1995) Use of time-series analysis to model and forecast wind speed. J Wind Eng Ind Aerodyn 56(2):311–322. https://doi.org/10.1016/0167-6105(94)00093-S
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