Wave Power Prediction Based on Seasonal and Trend Decomposition Using Locally Weighted Scatterplot Smoothing and Dual-Channel Seq2Seq Model
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- Milad Shadman & Mateo Roldan-Carvajal & Fabian G. Pierart & Pablo Alejandro Haim & Rodrigo Alonso & Corbiniano Silva & Andrés F. Osorio & Nathalie Almonacid & Griselda Carreras & Mojtaba Maali Amiri &, 2023. "A Review of Offshore Renewable Energy in South America: Current Status and Future Perspectives," Sustainability, MDPI, vol. 15(2), pages 1-34, January.
- Babarit, A. & Hals, J. & Muliawan, M.J. & Kurniawan, A. & Moan, T. & Krokstad, J., 2012. "Numerical benchmarking study of a selection of wave energy converters," Renewable Energy, Elsevier, vol. 41(C), pages 44-63.
- Dong, Hanjiang & Zhu, Jizhong & Li, Shenglin & Wu, Wanli & Zhu, Haohao & Fan, Junwei, 2023. "Short-term residential household reactive power forecasting considering active power demand via deep Transformer sequence-to-sequence networks," Applied Energy, Elsevier, vol. 329(C).
- Yang, Mao & Wang, Da & Zhang, Wei, 2023. "A short-term wind power prediction method based on dynamic and static feature fusion mining," Energy, Elsevier, vol. 280(C).
- Qian, Cheng & Xu, Binghui & Xia, Quan & Ren, Yi & Sun, Bo & Wang, Zili, 2023. "SOH prediction for Lithium-Ion batteries by using historical state and future load information with an AM-seq2seq model," Applied Energy, Elsevier, vol. 336(C).
- Stefano Frizzo Stefenon & Laio Oriel Seman & Viviana Cocco Mariani & Leandro dos Santos Coelho, 2023. "Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices," Energies, MDPI, vol. 16(3), pages 1-18, January.
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Keywords
wave power prediction; seasonal and trend decomposition; temporal pattern attention; dual-channel sequence to sequence; multi-head self-attention;All these keywords.
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