基于Spark大数据平台的风功率预测模型研究

Research on wind power prediction model based on spark big data platform

引入Spark云计算技术进行并行化计算,提高处理大规模数据的能力。改进传统BP神经网络算法,将菌群优化算法与神经网络算法结合提高风电功率预测的能力。

This paper introduces spark cloud computing technology for parallel computing, which improve the ability to deal with large- scale data. In addition, this paper improves the traditional BP neural network algorithm, combines the bacterial foraging optimization algorithm and neural network algorithm to improve the power prediction ability of wind power.