Wind speed prediction in China with fully-convolutional deep neural network
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Elsevier BV
Reference48 articles.
1. Climate change 2023 synthesis report summary for policymakers;Lee;CLIMATE CHANGE 2023 Synthesis Report: Summary for Policymakers,2024
2. A transfer method to estimate hub-height wind speed from 10 meters wind speed based on machine learning;Yu;Renew Sustain Energy Rev,2022
3. Wind energy development and its environmental impact: a review;Leung;Renew Sustain Energy Rev,2012
4. A review of very short-term wind and solar power forecasting;Tawn;Renew Sustain Energy Rev,2022
5. Temporal-spatial analysis and improvement measures of Chinese power system for wind power curtailment problem;Pei;Renew Sustain Energy Rev,2015
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