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Data from both the devices installed in a home (i.e. on main line and on an appliance) is available for the period January 2018 to June 2020. This dataset contains processed data in following three files:\n\n1) Daily consumption data - Daily consumption is calculated from the cumulative kWh data recorded every minute\n\n2)15 minute block-wise load data - 24 hours of the day are divided into 96 15 min blocks, numbered from 0 to 95, and block-wise average load is calculated from active power recorded every minute.\n\n3) Household-Deployment basic info - Basic information about households and deployments like region, household type and deployment type.\n\nPlease contact us in case detailed data is required.","citation:dsDescriptionDate":"2021-07-01"},"publication":{"publicationCitation":"Prayas (Energy Group), ‘eMARC: Insights from smart metering data', blog-series on smart meter data collected under the eMARC initiative, July 2021.","publicationURL":"https://www.prayaspune.org/peg/blogs/emarc-blog"},"subject":"Other","dateOfDeposit":"2021-07-06","citation:depositor":"Prayas, Energy Group","citation:notesText":"Terms of use\nThe information made available on the dataverse and through the eMARC website is made available on ‘as is where is’ basis. Though reasonable care is taken to provide reliable data, neither Prayas, nor any of its agents, contractors, employees can be held responsible for use of any data or information made available herein. Anybody is welcome to make full use of the information available herein for any non-commercial, academic and research purpose, provided the source of the information is clearly acknowledged. We will highly appreciate if we are intimated of use of this data and a copy of the publication, paper or report using this data is shared with us at esmi_energy@prayaspune.org","title":"Processed data","@id":"https://doi.org/10.7910/DVN/YJ5SP1","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.1","schema:name":"Processed data","schema:dateModified":"Thu Jul 08 07:09:47 UTC 2021","schema:datePublished":"2021-07-07","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Monitoring and Analysis of Residential Electricity Consumption (eMARC)","@id":"https://dataverse.harvard.edu/dataverse/eMARC","schema:description":"Several surveys in recent past have thrown some light on the various aspects of residential consumption like appliance ownership and purchase patterns. However, accuracy of information on actual electricity consumption in homes collected through surveys can be limited due to several reasons. eMARC, an initiative by <a href=\"http://prayaspune.org/peg/\">Prayas (Energy Group)</a> aims to address this gap by collecting minute-wise electricity consumption data of entire homes and selected appliances. eMARC has been deployed in urban, semi-urban, and rural areas in Maharashtra and Uttar Pradesh in India. Interactive dashboards based on the analysis of this data are available on the <a href=\"http://emarc.watchyourpower.org/\">eMARC website</a>","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. 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