摘要
随着社会和经济的快速发展,电力消费量的增长已成为衡量一个地区经济发展水平的重要指标之一。该文首先利用NPP-VIIRS夜光遥感数据,采用最小二乘法建立了中国华南地区电力消费的线性模型,并通过真实用电量和模拟用电量的对比验证了该模型的正确性。然后利用该模型对2013-2022年华南地区不同空间尺度上的电力消费情况进行了分析,展示了从像元到市级尺度上的电力消费分布特征,揭示了电力消费与地区经济发展之间的密切关系。此外还分析了电力消费在不同时间尺度上的变化趋势,为华南地区能源的优化配置和电力资源的有效分配提供了科学依据,对促进地区间经济的均衡发展和提升能源利用效率具有重要意义。
With the rapid development of society and economy,the growth of electricity consumption has become one of the important indicators to measure the level of regional economic development.This paper first establishes a linear model of electricity consumption in South China by the least squares method based on NPP-VIIRS nighttime light remote sensing data,and verifies the correctness of the model by comparing real power consumption with simulated power consumption.Then,this paper analyzes the electricity consumption in South China at different spatial scales from 2013 to 2022 by using this model,showing the distribution characteristics of electricity consumption from pixel to municipal scale,and revealing the close relationship between electricity consumption and regional economic development.Additionally,this paper also analyzes the trends of electricity consumption across different temporal scales,which provides a scientific basis for the optimal allocation of energy and the effective distribution of power resources in the South China,and is of great significance for promoting balanced economic development between regions and enhancing energy efficiency.
作者
郭晓征
王一妹
GUO Xiaozheng;WANG Yimei(China Huaneng Group Clean Energy Technology Research Institute Co.,Ltd.,Changping 102200,Beijing,China)
出处
《电力大数据》
2024年第7期80-88,共9页
Power Systems and Big Data
基金
华能集团总部科技项目(HNKJ21-H52)。
关键词
电力消费模拟
夜光遥感数据
最小二乘法
多尺度时空分析
electricity consumption simulation
nighttime light remote sensing data
least squares method
multi-scale spatio-temporal analysis
作者简介
郭晓征(1996),男,硕士,工程师,主要从事遥感定量反演、夜光遥感应用等方面研究;通讯作者:王一妹(1991),女,博士,高级工程师,主要从事新能源资源分析与新能源发电并网运行研究工作。
