High-resolution electric power load data of an industrial park with multiple types of buildings in China

Abstract Considering the growing demand for electricity in industrial parks, understanding their electric power load patterns is critical for improving energy efficiency and ensuring the rational utilization of energy resources. However, the detailed electric power load data of various buildings in...

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Main Authors: Kaile Zhou, Dingding Hu, Rong Hu, Jiong Zhou
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02786-9
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author Kaile Zhou
Dingding Hu
Rong Hu
Jiong Zhou
author_facet Kaile Zhou
Dingding Hu
Rong Hu
Jiong Zhou
author_sort Kaile Zhou
collection DOAJ
description Abstract Considering the growing demand for electricity in industrial parks, understanding their electric power load patterns is critical for improving energy efficiency and ensuring the rational utilization of energy resources. However, the detailed electric power load data of various buildings in industrial parks are rarely available and accessible, which hinders the related studies. In this context, we present the electric power load data of 6 years (from January 1, 2016 to December 31, 2021) for various types of buildings in an industrial park in Suzhou, China. The data are obtained from smart meters and have various time resolutions (i.e., 5 minutes, 30 minutes, and 1 hour). This work describes the data collection, processing process, and different imputation methods. The high-resolution electric power load data can be used for various research tasks, including load prediction, load pattern recognition, anomaly detection, and demand response strategy development.
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spelling doaj.art-c2d17040a81945ccbaec8b75403937882023-12-10T12:06:44ZengNature PortfolioScientific Data2052-44632023-12-0110111010.1038/s41597-023-02786-9High-resolution electric power load data of an industrial park with multiple types of buildings in ChinaKaile Zhou0Dingding Hu1Rong Hu2Jiong Zhou3School of Management, Hefei University of TechnologySchool of Management, Hefei University of TechnologySchool of Management, Hefei University of TechnologyJizhong Energy Technology Services (Shanghai) CompanyAbstract Considering the growing demand for electricity in industrial parks, understanding their electric power load patterns is critical for improving energy efficiency and ensuring the rational utilization of energy resources. However, the detailed electric power load data of various buildings in industrial parks are rarely available and accessible, which hinders the related studies. In this context, we present the electric power load data of 6 years (from January 1, 2016 to December 31, 2021) for various types of buildings in an industrial park in Suzhou, China. The data are obtained from smart meters and have various time resolutions (i.e., 5 minutes, 30 minutes, and 1 hour). This work describes the data collection, processing process, and different imputation methods. The high-resolution electric power load data can be used for various research tasks, including load prediction, load pattern recognition, anomaly detection, and demand response strategy development.https://doi.org/10.1038/s41597-023-02786-9
spellingShingle Kaile Zhou
Dingding Hu
Rong Hu
Jiong Zhou
High-resolution electric power load data of an industrial park with multiple types of buildings in China
Scientific Data
title High-resolution electric power load data of an industrial park with multiple types of buildings in China
title_full High-resolution electric power load data of an industrial park with multiple types of buildings in China
title_fullStr High-resolution electric power load data of an industrial park with multiple types of buildings in China
title_full_unstemmed High-resolution electric power load data of an industrial park with multiple types of buildings in China
title_short High-resolution electric power load data of an industrial park with multiple types of buildings in China
title_sort high resolution electric power load data of an industrial park with multiple types of buildings in china
url https://doi.org/10.1038/s41597-023-02786-9
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AT dingdinghu highresolutionelectricpowerloaddataofanindustrialparkwithmultipletypesofbuildingsinchina
AT ronghu highresolutionelectricpowerloaddataofanindustrialparkwithmultipletypesofbuildingsinchina
AT jiongzhou highresolutionelectricpowerloaddataofanindustrialparkwithmultipletypesofbuildingsinchina