基于时序模型的高耗能企业短期电力负荷预测方法
A Short-Term Power Load Forecasting Method for High Energy Consumption Enterprises Based on Timing Model
李康玉 1颜红 1江熙 1张丹丹1
作者信息
- 1. 哈尔滨普华电力设计有限公司 黑龙江哈尔滨 150000
- 折叠
摘要
常规的高能耗企业短期电力负荷预测方法易受内外循环鲁棒性影响,导致电力负荷预测平均相对误差(Mean Relative Error,MRE)较高,因此,基于时序模型,设计一种全新的高能耗企业短期电力负荷预测方法.结合企业短期电力负荷预测数据,基于时序模型设计了企业短期电力负荷预测算法,从而实现了短期电力负荷预测.实验结果表明,设计的高耗能企业短期电力时序模型负荷预测方法的电力负荷预测MRE较低,证明设计的电力负荷预测方法的预测效果较好,有一定的应用价值,为降低企业电能损耗作出了一定的贡献.
Abstract
Conventional short-term power load forecasting methods for high energy consuming enterprises are eas-ily affected by the robustness of internal and external cycles,resulting in a high Mean Relative Error(MRE)in power load forecasting.Therefore,based on a timing model,a new short-term power load forecasting method for high energy consuming enterprises is designed.In other words,the short-term power load forecasting data for en-terprises is processed and a short-term power load forecasting algorithm is designed based on a timing model,thereby achieving short-term power load forecasting.The experimental results show that the MRE of the designed short-term power timing model load forecasting method for high energy consuming enterprises is relatively low,which proves that the designed power load forecasting method has good predictive effect and certain application value,making a certain contribution to reducing enterprise power loss.
关键词
时序模型/高耗能企业/电力负荷预测/平均相对误差Key words
Timing model/High energy consumption/Electricity load forecasting/Mean Relative Error引用本文复制引用
出版年
2024
NETL
NSTL
万方数据