电力需求侧管理2024，Vol.26Issue(1)：81-85,5.DOI:10.3969/j.issn.1009-1831.2024.01.013
基于关联规则分析的用能系统控制优化研究
Control optimization of energy-using system based on association rule analysis
摘要
Abstract
Heating,ventilating and air condition(HVAC)energy consumption on load side accounts for a large proportion of total energy consumption of the building.Adopting appropriate control scheme can effectively reduce energy consumption of energy consumption sys-tem.At present,the methods of energy saving regulation and control of HVAC on load side mostly focus on load forecasting control,which requires the combination of multiple model prediction results and high accuracy requirements.However,association rule analysis method can directly learn the law of historical operation data,and can more easily obtain more energy-saving regulation strategies.Energy con-sumption system of a shopping mall in Wuhan is taken as the research object,and operating data of the system load side in June are collect-ed for research.After the data is cleaned and discretized,Apriori algorithm is used to calculate the association rules between power and de-vice start-stop and frequency,and the energy-saving control scheme is presented based on this.Research results show that Apriori algo-rithm can learn the law of historical operation data of energy consumption system well.By analyzing the relationship between system power and adjustable parameters such as frequency,start and stop,the energy-saving control strategy can be obtained more quickly,conveniently and directly in actual use.关键词
用能系统/节能调控/关联规则分析/Apriori算法Key words
energy-using system/energy conservation regulation/association rule analysis/Apriori algorithm分类
经济学引用本文复制引用
何胜,许朝阳,肖楚鹏,阮文骏..基于关联规则分析的用能系统控制优化研究[J].电力需求侧管理,2024,26(1):81-85,5.基金项目
国家电网有限公司科技项目(5108-202218280A-2-0-XG) （5108-202218280A-2-0-XG）
