基于萤火虫算法的风速预测研究现状及发展前景

Research Status and Development Prospect of Wind Speed Prediction Based on Firefly Algorithm

摘要: 风速预测作为抗震设计，风电场的前提，有极为重要的应用前景。本文首先对风速预测的两大理论方法神经网络和支持向量机其近来的改进与发展做简要的介绍与对比。然后一种新兴的在其他领域已经有较为广泛应用的萤火虫算法，在风速预测方面也可结合支持向量机进行使用。本文对萤火虫算法的基本理论进行了介绍，由于基本萤火虫算法存在的问题，同时也罗列了一些萤火虫算法的改进。最后对风速预测与萤火虫算法的应用前景进行展望。

Abstract: Wind speed prediction, as a prerequisite for seismic design and wind farm, has a very important application prospect. Firstly, this paper briefly introduces the basic methods of neural networks and support vector machines and their recent improvements in wind speed prediction. Secondly, the firefly algorithm as a new algorithm has been applied widely in other fields, and in the wind speed prediction it can also combine support vector machines. Due to the shortcoming of basic firefly algorithm, this paper also lists some improvements of the firefly algorithm. Finally, the forecast of wind speed prediction and the algorithm of firefly are prospected.