Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)-Reference-Cited by-同舟云学术

Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)

Published:2022-02 Issue: Volume:185 Page:611-628
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zhang Wanqing,Lin Zi,Liu Xiaolei^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference41 articles.

1. Wind Power to dominate power sector growth | Global Wind Energy Council, (n.d.). https://gwec.net/wind-power-to-dominate-power-sector-growth/(accessed April 19, 2021).

2. Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network;Lin;Energy,2020

3. Impacts of water depth increase on offshore floating wind turbine dynamics;Lin;Ocean. Eng.,2021

4. Global Offshore Wind Report 2020 | Global Wind Energy Council, (n.d.). https://gwec.net/global-offshore-wind-report-2020/(accessed May 5, 2021).

5. Queen's Speech December 2019 - GOV.UK, (n.d.). https://www.gov.uk/government/speeches/queens-speech-december-2019 (accessed April 19, 2021).

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