U. Gentile, S. Marrone, N. Mazzocca, Roberto Nardone
{"title":"A Cost-Energy Trade-Off Model in Smart Energy Grids","authors":"U. Gentile, S. Marrone, N. Mazzocca, Roberto Nardone","doi":"10.1109/3PGCIC.2014.83","DOIUrl":null,"url":null,"abstract":"The growing application of ICT in the management of power generation and distribution plants is one of most sensitive case studies in the field of cyber-physical systems. At the date, several technologies and devices are present to improve the efficiency of these infrastructures giving to system engineers and practitioners a good set of mechanisms to optimise energy efficiency of the nodes. This paper defines a quantitative model that can be used to choose the smart-home logic able to maximise acquired/consumed energy and minimise costs. The model is based on the Fluid Stochastic Petri Net formalism and has been built according to compositional modelling approaches.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2014.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The growing application of ICT in the management of power generation and distribution plants is one of most sensitive case studies in the field of cyber-physical systems. At the date, several technologies and devices are present to improve the efficiency of these infrastructures giving to system engineers and practitioners a good set of mechanisms to optimise energy efficiency of the nodes. This paper defines a quantitative model that can be used to choose the smart-home logic able to maximise acquired/consumed energy and minimise costs. The model is based on the Fluid Stochastic Petri Net formalism and has been built according to compositional modelling approaches.