With the large-scale integration of wind power into the grid, grid-side instability caused by fluctuations in wind speed is becoming more and more significant, and the topic of wind speed prediction for wind farms is urgent. Based on this, in order to solve the problem of low prediction accuracy of a single support vector machine, this paper proposes a wind speed prediction method that uses particle swarm optimization to optimize the support vector machine. Use particle swarm algorithm to optimize the selection of penalty factors and kernel function parameters of support vector machines, then conduct model training on the optimized parameters, and then apply the established prediction model to wind speed prediction of wind farms, and finally analyze the prediction results. The prediction results show that the support vector machine algorithm optimized by the particle swarm optimization algorithm has better accuracy in predicting the wind speed of wind farms, which is significantly higher than the prediction accuracy of a single support vector machine.
Glass-ceramics were synthesized through the sol-gel method. The Thermogravimetry & Differential scanning calorimetry (TG-DSC), X-ray diffraction (XRD), BET, Scanning electron microscope (SEM), bioactivity and turbidometric tests were used to characterize the properties of the glass-ceramics. The TG-DSC results showed that the nitrates could be decomposed completely when the bioactive glass xerogel precursor was heat treated at 750°C. The synthesized glass-ceramic powders had an average particle size of about 3 μm to 20 μm with nanopores on the surface. The XRD results showed that the Na2Ca3Si6O16 and CaSiO3 were the major phases of the glass-ceramics heat treated at 600°C and 700°C, respectively. The flexural strength significantly increased from 79.2 MPa to 163.6 MPa with the sintering temperature increasing from 550°C to 600°C. The formation of carbonated hydroxyapatite can be proved by FT-IR results in this study. The synthesized glass-ceramics have good bioactivity and anti-bacterial property.
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