Funder
Ministry of Science and Technology, Taiwan
Subject
General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering
Reference31 articles.
1. Global wind report 2019,2020
2. A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data;Sharifian;Renew Energy,2018
3. A novel deep learning intelligent clustered hybrid models for wind speed and power forecasting;Aly;Energy,2020
4. Short-term load and wind power forecasting using neural network-based prediction intervals;Quan;IEEE Trans Neural Network,2014
5. A new fuzzy-based combined prediction interval for wind power forecasting;Kavousi-Fard;IEEE Trans Power Syst,2016
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