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电力大数据:2024,27(7):-
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基于夜光遥感数据的华南电力消费时空动态研究
郭晓征, 王一妹
(中国华能集团清洁能源技术研究院有限公司)
Spatial-Temporal Dynamics Study of South China
GUO XIAOZHENG, WANG YIMEI
(China Huaneng Group Clean Energy Technology Research Institute Co.,Ltd.)
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投稿时间:2024-04-18    修订日期:2024-05-08
中文摘要: 随着社会经济的快速发展,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。本文针对中国华南区域电力消费的分析与模拟,采用了NPP-VIIRS夜光遥感数据,结合最小二乘法建立了电力消费的线性模型。通过对2013-2022年华南地区电力消费的时空分析,本研究展示了从像元到市级不同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。研究表明,所建立的线性模型在电力消费量的估算中表现出较高的准确性,有效地反映了华南地区经济的快速增长和电力的强烈需求。此外,本文还分析了电力消费在不同时间尺度上的变化趋势,为华南区域的能源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。
Abstract: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 article focuses on the analysis and simulation of electricity consumption in the South China region, utilizing NPP-VIIRS nighttime light remote sensing data combined with the least squares method to establish a linear model for electricity consumption. Through the spatial-temporal analysis of electricity consumption in South China from 2013 to 2022, this study reveals the distribution characteristics of electricity consumption from the grid to the city level, highlighting the close relationship between electricity consumption and regional economic development. The research shows that the established linear model demonstrates high accuracy in estimating electricity consumption, effectively reflecting the rapid economic growth and strong demand for electricity in the South China region. Additionally, this paper analyzes the trends of electricity consumption across different temporal scales, providing a scientific basis for the optimal allocation of energy and the effective distribution of electricity resources in the South China region. This is significant for promoting balanced economic development between regions and enhancing energy efficiency.
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基金项目:华能集团总部科技项目“集团级智慧运维平台建设关键技术研究及系统开发”(批准号:HNKJ21-H52)
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