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首页> 外文期刊>Data in Brief >Climate, weather, socio-economic and electricity usage data for the residential and commercial sectors in FL, U.S
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Climate, weather, socio-economic and electricity usage data for the residential and commercial sectors in FL, U.S

机译:美国佛罗里达州住宅和商业部门的气候,天气,社会经济和电力使用数据

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摘要

This paper presents the data that is used in the article entitled “Climate sensitivity of end-use electricity consumption in the built environment: An application to the state of Florida, United States” (Mukhopadhyay and Nateghi, 2017) . The data described in this paper pertains to the state of Florida (during the period of January 1990 to November 2015). It can be classified into four categories of (i) state-level electricity consumption data; (ii) climate data; (iii) weather data; and (iv) socio-economic data. While, electricity consumption data and climate data are obtained at monthly scale directly from the source, the weather data was initially obtained at daily-level, and then aggregated to monthly level for the purpose of analysis. The time scale of socio-economic data varies from monthly-level to yearly-level. This dataset can be used to analyze the influence of climate and weather on the electricity demand as described in Mukhopadhyay and Nateghi (2017) .
机译:本文介绍了题为“建筑环境中最终用电量的气候敏感性:美国佛罗里达州的应用”的文章中使用的数据(Mukhopadhyay和Nateghi,2017年)。本文中描述的数据与佛罗里达州有关(1990年1月至2015年11月)。它可以分为四类:(i)国家级用电量数据; (ii)气候数据; (iii)天气数据; (iv)社会经济数据。电力消耗数据和气候数据是直接从来源每月获取的,而天气数据最初是从每日获取的,然后汇总到每月以进行分析。社会经济数据的时间尺度从每月级别到每年级别不等。如Mukhopadhyay和Nateghi(2017)所述,该数据集可用于分析气候和天气对电力需求的影响。

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