P. Cardoso, J. Monteiro, C. Cabrita, J. Semião, D. Cruz, Nelson Pinto, C. Ramos, Luís M. R. Oliveira, J. Rodrigues
{"title":"监测、预测和优化能源消耗","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":"{\"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}","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}
Monitoring, Predicting, and Optimizing Energy Consumptions
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.