Jorge Segarra-Tamarit, E. Pérez, E. Belenguer, J. Cardo-Miota, Hector Beltran
{"title":"Aggregated demand analysis and forescasting methodology for the Iberian Electricity Market","authors":"Jorge Segarra-Tamarit, E. Pérez, E. Belenguer, J. Cardo-Miota, Hector Beltran","doi":"10.1109/IESES45645.2020.9210668","DOIUrl":null,"url":null,"abstract":"This paper introduces an aggregated demand short-medium-term forecasting methodology based on calendar and temperature corrections that returns a very low relative error prediction when tested against actual demand values in the Iberian Electricity Market. The work introduces the market structure and the revealed importance of the demand on the electricity price, according to past correlations. Then, it introduces some of the most extended metrics in the literature being used for comparison among methodologies, as well as the databases consulted to obtain the required information. The performance of the proposed forecasting method is analysed against real data and compared with other simple proposal providing good results.","PeriodicalId":262855,"journal":{"name":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESES45645.2020.9210668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces an aggregated demand short-medium-term forecasting methodology based on calendar and temperature corrections that returns a very low relative error prediction when tested against actual demand values in the Iberian Electricity Market. The work introduces the market structure and the revealed importance of the demand on the electricity price, according to past correlations. Then, it introduces some of the most extended metrics in the literature being used for comparison among methodologies, as well as the databases consulted to obtain the required information. The performance of the proposed forecasting method is analysed against real data and compared with other simple proposal providing good results.