Abstract：In order to forecast precision of power load, this paper proposed a new power load forecasting model based on extreme learning machine optimized by bat algorithm (BA-ELM). Firstly, the data of power load are collected, and then the bat algorithm is used to optimize the delay time and the embedding dimension and parameter of extreme learning machine, and phase space reconstruction is use to construct the data of power load, finally, the extreme learning machine which has good parameter is used to establish load forecasting model, and the simulation experiments is carried out on some power load data. The simulation results show that BA-ELM can build an overall performance outstanding power load forecasting model, and improve the power load prediction accuracy.
孔令春，孙琼琼，杨照峰. 蝙蝠算法优化极限学习机的电力负荷预测模型[J]. 辽宁工程技术大学学报(自然科学版), 2016, 35(1): 89-92.
KONG Lingchun, SUN Qiongqiong, YANG Zhaofeng. Load forecasting based on bat algorithm optimizing extreme learning machine. Journal of LNTU.Natural Science, 2016, 35(1): 89-92.