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Smart-Grid Smart-City Customer Trial Data

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Research Data Australia2024-12-14 收录
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https://researchdata.edu.au/smart-grid-smart-trial-data/2994523
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This data is from the customer trial conducted as part of the Smart Grid Smart City (SGSC) project (2010-2014). It provides one of the few linked sets of customer time of use (half hour increments) and demographic data for Australia, as well as detailed information on appliance use, climate, retail and distributor product offers, and other related factors. The project was jointly funded by the Australian Government and an industry consortium, led by Ausgrid.\r\nData resources that comprise this Customer Trial Data may be linked by the Customer ID number. Details of data resources for this dataset are listed below and include: electricity use interval readings; home area network plug readings; peak events; peak events response; and offer and acceptance. \r\nThe SGSC project was a commercial scale demonstration of smart grids, their associated technologies and other factors. Information about the project, including final reports, can be found at the archived [Department of Industry, Innovation and Science] website. (http://content.webarchive.nla.gov.au/gov/wayback/20160615043539/http://www.industry.gov.au/Energy/Programmes/SmartGridSmartCity/Pages/default.aspx).\r\n

本数据集源自2010-2014年实施的智能电网智能城市(Smart Grid Smart City, SGSC)项目下属的用户试用试验。该数据集为澳大利亚为数不多的关联式数据集之一,涵盖用户半小时间隔的分时用电数据与人口统计数据,同时包含家电使用情况、气候条件、电力零售与配电商产品套餐,以及其他相关关联因素的详细信息。本项目由澳大利亚政府与行业联盟联合资助,由Ausgrid牵头主导。 本用户试用数据集的各类数据资源可通过用户编号(Customer ID)进行关联。本数据集包含的数据资源详情如下:用电间隔读数、家庭区域网络(Home Area Network, HAN)插座读数、峰荷事件、峰荷响应,以及套餐报价与订购情况。 SGSC项目是面向智能电网及其关联技术与其他相关因素开展的商业级规模示范项目。有关该项目的信息(含最终报告)可在归档的澳大利亚工业、创新与科学部官网存档页面获取,链接为:http://content.webarchive.nla.gov.au/gov/wayback/20160615043539/http://www.industry.gov.au/Energy/Programmes/SmartGridSmartCity/Pages/default.aspx。
提供机构:
data.gov.au
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是澳大利亚智能电网智能城市(SGSC)项目(2010-2014年)客户试验的数据,核心特点是提供了澳大利亚少有的链接客户分时用电(半小时增量)和人口统计数据的集合,并包含电器使用、气候、产品报价等详细信息,由政府和行业联盟共同资助。
以上内容由遇见数据集搜集并总结生成
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