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天津地区用电量与气温的非线性响应关系研究
引用本文:兰辉,于佳卉,曹经福,刘玉坤,孙玫玲,黄鹤. 天津地区用电量与气温的非线性响应关系研究[J]. 气象与环境学报, 2021, 37(4): 139-144. DOI: 10.3969/j.issn.1673-503X.2021.04.020
作者姓名:兰辉  于佳卉  曹经福  刘玉坤  孙玫玲  黄鹤
作者单位:天津市气象服务中心,天津300074;天津市气象科学研究所,天津300074;国网天津市电力公司,天津300010;天津市气候中心,天津300074
基金项目:国家重点研发计划(2018YFA06063002);天津市气象局科研项目(202135dgxm13)
摘    要:利用门限回归模型和非线性滑动回归模型,分析天津市2014—2019年日用电量和气温之间的非线性关系,并计算得到不同响应关系下的阈值气温.结果表明:天津地区的阈值气温在不同响应关系下存在明显差异,在"V"型非线性响应关系下,阈值气温为18.8℃,在"U"型响应关系下,线性不对称模型的舒适区范围为12.3—23.4℃,非线...

关 键 词:门限回归  非线性滑动回归  "  U"  型分段  "  V"  型分段
收稿时间:2020-11-02

Study on the nonlinear response relationship between electricity consumption and air temperature in Tianjin area
Hui LAN,Jia-hui YU,Jing-fu CAO,Yu-kun LIU,Mei-ling SUN,He HUANG. Study on the nonlinear response relationship between electricity consumption and air temperature in Tianjin area[J]. Journal of Meteorology and Environment, 2021, 37(4): 139-144. DOI: 10.3969/j.issn.1673-503X.2021.04.020
Authors:Hui LAN  Jia-hui YU  Jing-fu CAO  Yu-kun LIU  Mei-ling SUN  He HUANG
Affiliation:1. Tianjin Meteorological Service Center, Tianjin 300074, China2. Tianjin Institute of Meteorological Science, Tianjin 300074, China3. State Grid Tianjin Electric Power Company, Tianjin 300010, China4. Tianjin Climate Center, Tianjin 300074, China
Abstract:Using the threshold regression model and the nonlinear sliding regression model, the nonlinear relationship between the daily electricity consumption and temperature in Tianjin from 2014 to 2019 was explored, and the threshold temperature under different response relationships was calculated. The results showed that the threshold temperature in Tianjin is significantly different under different response relationships. Under the "V"-shaped nonlinear response relationship, the threshold temperature is 18.8℃, while under the "U"-shaped response relationship, the comfort zone of the linear asymmetric model is 12.3-23.4℃, and the comfort zone range of the nonlinear model is 13.7-21.7℃. Comparing the prediction effects of different models, it is considered that the "U" model is better than the "V" model, and the nonlinear model is better than the linear model. The analysis on the influence factors of the threshold temperature showed that relative humidity has a greater impact on the threshold temperature of the comfort zone and the cooling zone. The threshold temperature is 2.2℃ higher when the relative humidity is 30%-50% than when the relative humidity is 50%-70%. In contrast, relative humidity has little effect on the threshold temperature of the comfort zone and heating zone. The threshold temperature in Tianjin will change significantly over time, and the range of the comfort zone in 2002-2005 is 1.4℃ larger than that in 2014-2019. In practical applications, the threshold temperature should be selected according to the needs of the model, and the influence of relative humidity and time changes should be fully considered, to improve the accuracy of electricity consumption prediction.
Keywords:Threshold regression,Nonlinear sliding regression,"  U"  -shaped segmentation,"  V"  -shaped segmentation,
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