CNN–LSTM–AM: A power prediction model for offshore wind turbines
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Elsevier BV
Reference49 articles.
1. Wind energy technology and current status: a review;Ackermann;Renew. Sustain. Energy Rev.,2000
2. Time series analysis forecasting and control;Bartholomew;Oper. Res. Q.,1971
3. Wind and solar energy curtailment: a review of international experience;Bird;Renew. Sustain. Energy Rev.,2016
4. A review on the young history of the wind power short-term prediction;Costa;Renew. Sustain. Energy Rev.,2008
5. Numerical weather prediction and artificial neural network coupling for wind energy forecast;Donadio;Energies,2021
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