Carlos García-Aroca, Ma. Asunción Martínez-Mayoral, Javier Morales-Socuéllamos, José Vicente Segura-Heras
{"title":"alPCA: An automatic software for the selection and combination of forecasts in monthly series","authors":"Carlos García-Aroca, Ma. Asunción Martínez-Mayoral, Javier Morales-Socuéllamos, José Vicente Segura-Heras","doi":"10.1016/j.simpa.2024.100644","DOIUrl":null,"url":null,"abstract":"<div><p>alPCA is a software coded in R and designed to automatically combine predictions from a collection of individual forecasting methods that integrate it. It employs three categories of weights derived from the PCA scores, and decision rules to determine the optimal combination of these methods. alPCA serves as an automated component within the artificial intelligence toolkit for monthly time series processing with the objective of obtaining the best forecast.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"20 ","pages":"Article 100644"},"PeriodicalIF":1.3000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000320/pdfft?md5=7b465d8975048ac2c3a64c040483d585&pid=1-s2.0-S2665963824000320-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963824000320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
alPCA is a software coded in R and designed to automatically combine predictions from a collection of individual forecasting methods that integrate it. It employs three categories of weights derived from the PCA scores, and decision rules to determine the optimal combination of these methods. alPCA serves as an automated component within the artificial intelligence toolkit for monthly time series processing with the objective of obtaining the best forecast.