摘要
当下电力系统负荷预测呈现出与人工智能算法相融合的趋势,综述变分模态分解算法(VMD)在电力系统负荷预测中的应用,即利用VMD对负荷数据进行分解,得到规律性更强的子序列,再利用神经网络模型对各个子序列进行预测,最后将预测的结果进行求和,得到最终的预测结果。
The current power system load forecasting presents a trend of integration with artificial intelligence algorithms,and summarizes the application of the variational modal decomposition(VMD)algorithm and the method in the power system load forecasting,i.e.,the use of the VMD decomposition of the load data,obtain a more regular subsequence,and then use the neural network model to analyze the application of VMD in power system load forecasting and finally sum up the predicted results to get the final prediction results.
作者
王川
Wang Chuan(School of Electrical and Control Engineering,Liaoning University of Engineering and Technology,Huludao Liaoning 125105,China)
出处
《现代工业经济和信息化》
2025年第8期142-143,共2页
Modern Industrial Economy and Informationization
关键词
电力系统
负荷预测
变分模态分解法
power system
load forecasting
variational modal decomposition method
