{"title":"Interpolation of intra-hourly electricity consumption and production data","authors":"Alo Allik, A. Annuk","doi":"10.1109/ICRERA.2017.8191254","DOIUrl":null,"url":null,"abstract":"This paper explores the problems of the averaging and interpolation of electricity consumption and distributed photovoltaic energy generation data on higher than hour resolution levels. The paper compares different interpolation methods, like linear and spline interpolation and discusses modelling approaches for the energy data reconstruction on the basis of minutely and hourly data. The results are compared by analyzing ramp rates, residuals and self-consumption values of the generated datasets, to find the deviation between modeled and measured high resolution data. As a practical result correction factors were proposed to reevaluate self-consumption calculations made with aggregated input data.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"19 1","pages":"131-136"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRERA.2017.8191254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper explores the problems of the averaging and interpolation of electricity consumption and distributed photovoltaic energy generation data on higher than hour resolution levels. The paper compares different interpolation methods, like linear and spline interpolation and discusses modelling approaches for the energy data reconstruction on the basis of minutely and hourly data. The results are compared by analyzing ramp rates, residuals and self-consumption values of the generated datasets, to find the deviation between modeled and measured high resolution data. As a practical result correction factors were proposed to reevaluate self-consumption calculations made with aggregated input data.