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Advances in Electrical and Computer Engineering • Vol 17 • No 1
Wind Power Prediction Based on LS-SVM Model with Error Correction
January 2017 • Yagang Zhang, Pengyu Wang, Tongguang Ni, Penglai Cheng, Shuang Lei
As conventional energy sources are non-renewable, the world's major countries are investing heavily in renewable energy research. Wind power represents the development trend of future energy, but the intermittent and volatility of wind energy are the main reasons that leads to the poor accuracy of wind power prediction. However, by analyzing the error level at different time points, it can be found that the errors of adjacent time are often approximately the same, the least square support vector machine (LS-SVM) m…
Renewable Energy
Support Vector Machine
Computer Science
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Meteorology
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Engineering
Machine Learning
Economics
Electrical Engineering
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Physics
Quantum Mechanics