电气开关2024,Vol.62Issue(5) :13-15,19.

基于RNN的电力负荷波动分析及预测研究

Analysis and Prediction of Power Load Fluctuation Based on RNN

温静
电气开关2024,Vol.62Issue(5) :13-15,19.

基于RNN的电力负荷波动分析及预测研究

Analysis and Prediction of Power Load Fluctuation Based on RNN

温静1
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作者信息

  • 1. 国网河南省电力公司洛阳供电公司,河南 洛阳 471000
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摘要

基于ANOVA分析了负荷波动的影响因素,结果表明,最高温度、最低温度、平均温度的P值均小于α,即最高温度、最低温度、平均温度对负荷波动有显著性影响.在此基础上,基于RNN建立了负荷预测模型,通过算例分析验证了模型的有效性.

Abstract

This paper analyzes the influencing factors of load fluctuation based on ANOVA,and the results show that the P value of the highest temperature,lowest temperature and average temperature are all less than α,that is,the highest temperature,lowest temperature and mean temperature have a significant effect on the load fluctuation.Furthermore,the load prediction model is established based on RNN and the model is verified by example analysis.

关键词

单因素方差分析/负荷波动/温度/湿度/循环神经网络

Key words

one-way variance analysis/load fluctuation/temperature/recurrent neural network

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出版年

2024
电气开关
沈阳电气传动研究所

电气开关

影响因子:0.281
ISSN:1004-289X
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