Author:
Liu Xin,Zhou Jun,Qian Huimin
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference52 articles.
1. Short-term wind power combined forecasting based on error forecast correction;Liang;Energy Convers. Manage.,2016
2. Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional gated recurrent unit network and support vector regression;Liu;Renew. Energy,2019
3. A review on the forecasting of wind speed and generated power;Lei;Renewable& Sustainable Energy Reviews,2009
4. Current methods and advances in forecasting of wind power generation;Foley;Renew. Energy,2012
5. G. Giebel, R. Brownsword, G. Kariniotakis, M. Denhard, C. Draxl, The state-of-the-art in short-term prediction of wind power: A literature overview, 2011, (https://academic.microsoft.com/paper/2593375484).
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