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智慧校园：信息通信技术驱动型大学的能源消耗数据。

Smart campus: Data on energy consumption in an ICT-driven university.

作者信息

Popoola Segun I, Atayero Aderemi A, Okanlawon Theresa T, Omopariola Benson I, Takpor Olusegun A

机构信息

Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria.

Physical Planning and Development Unit, Covenant University, Ota, Nigeria.

出版信息

Data Brief. 2017 Dec 7;16:780-793. doi: 10.1016/j.dib.2017.11.091. eCollection 2018 Feb.

DOI:10.1016/j.dib.2017.11.091
PMID:29276746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5738201/
Abstract

In this data article, we present a comprehensive dataset on electrical energy consumption in a university that is practically driven by Information and Communication Technologies (ICTs). The total amount of electricity consumed at Covenant University, Ota, Nigeria was measured, monitored, and recorded on daily basis for a period of 12 consecutive months (January-December, 2016). Energy readings were observed from the digital energy meter (EDMI Mk10E) located at the distribution substation that supplies electricity to the university community. The complete energy data are clearly presented in tables and graphs for relevant utility and potential reuse. Also, descriptive first-order statistical analyses of the energy data are provided in this data article. For each month, the histogram distribution and time series plot of the monthly energy consumption data are analyzed to show insightful trends of energy consumption in the university. Furthermore, data on the significant differences in the means of daily energy consumption are made available as obtained from one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests. The information provided in this data article will foster research development in the areas of energy efficiency, planning, policy formulation, and management towards the realization of smart campuses.

摘要

在这篇数据文章中，我们展示了一个关于一所大学电能消耗的综合数据集，该数据集实际上由信息通信技术（ICT）驱动。对尼日利亚奥塔市圣约大学连续12个月（2016年1月至12月）的每日耗电量进行了测量、监测和记录。从位于向大学社区供电的配电变电站的数字电表（EDMI Mk10E）获取了能源读数。完整的能源数据以表格和图表的形式清晰呈现，以供相关实用和潜在再利用。此外，本文还提供了能源数据的描述性一阶统计分析。对于每个月，分析月度能源消耗数据的直方图分布和时间序列图，以展示该大学能源消耗的有洞察力的趋势。此外，还提供了通过单因素方差分析（ANOVA）和多重比较事后检验获得的每日能源消耗均值显著差异的数据。本文提供的信息将促进在能源效率、规划、政策制定和管理等领域的研究发展，以实现智能校园。

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