摘要
文章以电力负荷数据为分析对象,采用基于群智能优化算法结合模糊理论的时间序列预测方法,建立电力预测模型.通过与其他聚类方法、优化方法和预测模型的比较,显示该模型的优越性和准确性.
Using the power load data as the analysis object in the paper,and the power forecasting model is established based on the swarm intelligence optimization algorithm combined with the time series forecasting method of fuzzy theory. Compared with other clustering methods,optimization methods,and forecasting models,the superiority and accuracy of the model are shown.
作者
周庆华
ZHOU Qing-hua(College of Electromechanical Engineering,Anhui Institute of Industrial Technology,Tongling 244000,China)
出处
《白城师范学院学报》
2022年第2期36-40,共5页
Journal of Baicheng Normal University
基金
安徽省高等学校省级质量工程高水平高职课程建设项目“‘工厂供电’精品线下开放课程”(2018kfk005)。
关键词
电力预测
时间序列
群智能优化
power forecasting
time series
swarm intelligence optimization algorithm
