Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil
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DOI: 10.1016/j.energy.2023.127787
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Cited by:
- Lin, Shengmao & Wang, Shu & Xu, Xuefang & Li, Ruixiong & Shi, Peiming, 2024. "GAOformer: An adaptive spatiotemporal feature fusion transformer utilizing GAT and optimizable graph matrixes for offshore wind speed prediction," Energy, Elsevier, vol. 292(C).
- Zhang, Zeyu & Liang, Yushi & Xue, Xinyue & Li, Yan & Zhang, Mulan & Li, Yiran & Ji, Xiaodong, 2024. "China's future wind energy considering air density during climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
- Yuzgec, Ugur & Dokur, Emrah & Balci, Mehmet, 2024. "A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting," Energy, Elsevier, vol. 300(C).
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Keywords
Wind speed modeling; Non-conventional wind speed distributions; Probability models; Performance comparison;All these keywords.
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