Multi-modal multi-step wind power forecasting based on stacking deep learning model
Author:
Funder
National Key Research and Development Program of China
Wuhan Science and Technology Project
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference32 articles.
1. An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting;Mitrentsis;Appl. Energy,2022
2. Very short-term wind power density forecasting through artificial neural networks for microgrid control;Rodriguez;Renew. Energy,2020
3. Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy;Xu;Renew. Energy,2021
4. World Market for Wind Power Saw Another Record Year in 2021: 97,3 Gigawatt of New Capacity Added,2022
5. A hybrid deep learning-based neural network for 24-h ahead wind power forecasting;Hong;Appl. Energy,2019
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