P. Cardoso, J. Monteiro, C. Cabrita, J. Semião, D. Cruz, Nelson Pinto, C. Ramos, Luís M. R. Oliveira, J. Rodrigues
{"title":"Monitoring, Predicting, and Optimizing Energy Consumptions","authors":"P. Cardoso, J. Monteiro, C. Cabrita, J. Semião, D. Cruz, Nelson Pinto, C. Ramos, Luís M. R. Oliveira, J. Rodrigues","doi":"10.4018/978-1-7998-2112-0.ch005","DOIUrl":null,"url":null,"abstract":"Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reduction of these levels. A solution is to leave the decisions to smart system, supported for instance in machine learning and optimization algorithms. This chapter involves those aspects and the related fields with emphasis in the prediction of energy consumption to optimize its usage policies.","PeriodicalId":342576,"journal":{"name":"Research Anthology on Clean Energy Management and Solutions","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Anthology on Clean Energy Management and Solutions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-2112-0.ch005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reduction of these levels. A solution is to leave the decisions to smart system, supported for instance in machine learning and optimization algorithms. This chapter involves those aspects and the related fields with emphasis in the prediction of energy consumption to optimize its usage policies.